testbib [WebMathsV.3]

Ici un exemple : <btex>year:2009,auth:ambroise</btex>

2009
[1]	Ambroise, C., Chiquet, J. & Matias, C. Inferring sparse Gaussian graphical models with latent structure. Electronic Journal of Statistics, 3():205-238, 2009.
[2]	Chiquet, J., Smith, A., Grasseau, G., Matias, C. & Ambroise, C. SIMoNe: Statistical Inference for MOdular NEtworks. Bioinformatics, 25(3):417-418, 2009.
[3]	Ambroise, C. & Dang, M. Data Analysis. , ():289-318, Wiley, 2009.
[4]	Latouche, P., Birmelé, E. & Ambroise, C. Advances in Data Analysis, Data Handling and Business Intelligence. , ():229-239, springer, 2009.
[5]	Chiquet, J., Charbonnier, C. & Ambroise, C. SIMoNe : Statistical Inference of Modular Network. In Workshop MODGRAPH, JOBIM'09, Nantes, 2009.
[6]	Latouche, P., Birmelé, E. & Ambroise, C. Uncovering overlapping clusters in biological networks. In Journées ouvertes en biologie, informatique et mathématiques (Jobim). Nantes, 2009.

Ici un exemple : <btex>auth:ambroise</btex>

2019
[1]	Palomares, M.A., Dalmasso, C., Bonnet, E., Derbois, C., Brohard-Julien, S., Ambroise, C., Battail, C., Deleuze, J.F. & Olaso, R.E. Systematic analysis of TruSeq, SMARTer and SMARTer Ultra-Low RNA-seq kits for standard, low and ultra-low quantity samples.. Scientific Reports, 9:1-12, Nature Publishing Group, 2019.
[2]	Robin, G., Ambroise, C. & Robin, S.S. Incomplete graphical model inference via latent tree aggregation. Statistical Modelling, 19(5):545-568, SAGE Publications, 2019.
[3]	Forst, E., Enjalbert, J., Allard, V., Ambroise, C., Krissaane, I., Mary Huard, T., Robin, S. & Goldringer, I. A generalized statistical framework to assess mixing ability from incomplete mixing designs using binary or higher order variety mixtures and application to wheat. Field Crops Research, 242:107571, Elsevier, 2019.
[4]	Ambroise, C., Dehman, A., Neuvial, P., Rigaill, G. & Vialaneix, N. Adjacency-constrained hierarchical clustering of a band similarity matrix with application to Genomics. Algorithms for Molecular Biology, 14:22, BioMed Central, 2019.
[5]	Robin, S.S. & Ambroise, C. Applications in Genomics. In HANDBOOK OF MIXTURE ANALYSIS, CRC PRESS-TAYLOR \& FRANCIS GROUP, 2019.
[6]	Enjalbert, J., Allard, V., Ambroise, C., Andrieu, B., Barot, S., Bentze, L., Blanc, E., Borg, J., Cantarel, A., Coléno, F., Pope de Vallavieille, C., Descoureaux, D., Dezette, D., Dubs, F., Feret, M., Forst, E., Fugeray-Scarbel, A., Galic, N., Gauffreteau, A., Gilet, J., Goldringer, I., Goussault, C., Hannachi, M., Hinsinger, P., Houivet, G., Hugoni, M., Jeuffroy, M.H., Kerbiriou, C., Labarthe, P., Lata, J., Leroux, X., Lecarpentier, C., Leconte, M., Lejars, L., Lemain, B., Lemarié, S., Leny, F., Le Viol, I., Lusley, P., Mary-Huard, T., Mirlicourtois, E., Montagnier, C., Niboyet, A., Omon, B., Perronne, R., Piaud, S., Pin, S., Cervek, C., Jouanne, S., Piaud, S., Poly, F., Pommier, T., Porcher, E., Saint-Jean, S., Salmon, S., Tropée, D., Vergnes, A., van Frank, G. & Vidal, T. An interdisciplinary approach to increase wheat within-field diversity and promote agro-ecosystem services. In European Conference on Crop Diversification, 2019.
[7]	Gautreau, G., Bazin, A., Planel, R., Gachet, M., Dubois, M., Burlot, L., Perrin, A., Touchon, M., Rocha, E., Ambroise, C., Matias, C., Médigue, C. & Vallenet, D. PanGBank: depicting microbial species diversity via PPanGGOLiN. , 2019., (Poster).
[8]	Ambroise, C., Dehman, A., Neuvial, P., Rigaill, G. & Vialaneix, N. Adjacency-constrained hierarchical clustering of a band similarity matrix with application to genomics. , 2019., (Poster).
[9]	Laso-Jadart, R., Sugier, K., Petit, E., Labadie, K., Peterlongo, P., Ambroise, C., Wincker, P., Jamet, J.L. & Madoui, M.A. Linking Allele-Specific Expression And Natural Selection In Wild Populations. , 2019., (working paper or preprint).
2018
[10]	Guinot, F., Szafranski, M., Ambroise, C. & Samson, F. Learning the optimal scale for GWAS through hierarchical SNP aggregation. BMC Bioinformatics, 19(1):459, BioMed Central, 2018.
[11]	Guinot, F., Szafranski, M., Ambroise, C. & Samson, F. Learning the optimal scale for GWAS through hierarchical SNP aggregation. BMC Bioinformatics, 19, BioMed Central, 2018.
[12]	Sow, M.D., Allona, I., Ambroise, C., Conde, D., Fichot, R.R., Gribkova, S., Jorge, V., Le Provost, G., Pâques, L., Plomion, C., Salse, J., Sanchez Rodriguez, L., Segura, V., Tost, J. & Maury, S. Epigenetics in Forest Trees: State of the Art and Potential Implications for Breeding and Management in a Context of Climate Change. In Plant Epigenetics Coming of Age for Breeding Applications, 88:454 p., Academic press, Elsevier, 2018., (Chapitre 12).
[13]	Gautreau, G., Ambroise, C., Matias, C., Perrin, A., Planel, R., Touchon, M., Médigue, C., Rocha, E., Cruveiller, S. & Vallenet, D. PPanGGOLiN: Depicting microbial diversity via a Partitioned Pangenome Graph. In Genome Informatics 2018, 2018.
[14]	Gautreau, G., Ambroise, C., Matias, C., Perrin, A., Planel, R., Touchon, M., Médigue, C., Rocha, E., Cruveiller, S. & Vallenet, D. PPanGGOLiN: Depicting microbial diversity via a Partitioned Pangenome Graph. In JOBIM 2018 Journées Ouvertes Biologie, Informatique et Mathématiques, 2018.
[15]	Ambroise, C., Dehman, A., Koskas, M., Neuvial, P., Rigaill, G. & Vialaneix, N. Adjacency-constrained hierarchical clustering of a band similarity matrix with application to genomics. In Journée Régionale de Bioinformatique et Biostatistique, Génopole Toulouse, 2018.
2015
[16]	Latouche, P., Birmele, E. & Ambroise, C. Handbook of Mixed Membership Models and Their Applications. , pages 547-568Chapman and Hall, 2015.
2014
[17]	Latouche, P., Birmele, E. & Ambroise, C. Model Selection in Overlapping Stochastic Block Models. Electronic Journal of Statistics, 8:762-794, 2014.
2013
[18]	Dehman, A., Ambroise, C. & Neuvial, P. Incorporating linkage disequilibrium blocks in Genome-Wide Association Studies. In JOBIM proceeding 2013, ():, , 2013.
2012
[19]	Ambroise, C. & Matias, C. New consistent and asymptotically normal parameter estimates for random graph mixture models. Journal of the Royal Statistical Society: Series B, 74(1):3-35, 2012.
[20]	Bouaziz, M., Paccard, C., Guedj, M. & Ambroise, C. SHIPS: Spectral Hierarchical Clustering for the Inference of Population Structure in Genetic Studies. PloS One, 7(10):e45685, 2012.
[21]	Latouche, P., Birmelé, E. & Ambroise, C. Variational Bayesian Inference and Complexity Control for Stochastic Block Models. Statistical Modelling, 12(1):93-115, 2012.
[22]	Grandvalet, Y., Chiquet, J. & Ambroise, C. Sparsity by Worst-Case Quadratic Penalties. , 2012.
2011
[23]	Bouaziz, M., Ambroise, C. & Guedj, M. Accounting for Population Stratification in Practice: a Comparison of the Main Strategies Dedicated to Genome-Wide Association Studies. PLOS one, 6(12):, 2011.
[24]	Chiquet, J., Grandvalet, Y. & Ambroise, C. Inferring Multiple Graphical Structures. Statistics and Computing, 21(4):537-553, 2011.
[25]	Jeanmougin, M., Guedj, M. & Ambroise, C. Defining a robust biological prior from Pathway Analysis to drive Network Inference.. J-SFdS, 152(2):, 2011.
[26]	Latouche, P., Birmelé, E. & Ambroise, C. Overlapping Stochastic Block Models with Application to the French Political Blogosphere. Annals of Applied Statistics, 5(1):309-336, 2011.
2010
[27]	Charbonnier, C., Chiquet, J. & Ambroise, C. Weighted-Lasso for Structured Network Inference from Time Course Data. Statistical Applications in Genetics and Molecular Biology, 9(1):, 2010.
[28]	Zanghi, H., Picard, F., Miele, V. & Ambroise, C. Strategies for Online Inference of Network Mixture. Annals of Applied Statistics, 4(2):687-714, 2010.
[29]	Zanghi, H., Volant, S. & Ambroise, C. Clustering based on random graph model embedding vertex features. Pattern Recognition Letters, 31(9):830-836, 2010.
[30]	Charbonnier, C., Chiquet, J. & Ambroise, C. Weighted-Lasso for Structured Network Inference for Time-Course data. In JOBIM'10, Montpellier, 2010.
[31]	Chiquet, J., Grandvalet, Y. & Ambroise, C. Inferring Multiple Graphical Structures. In Workshop MODGRAPHII, JOBIM'10, Montpellier, 2010.
[32]	Grandvalet, Y., Chiquet, J. & Ambroise, C. Inferring Multiple Regulation Networks. In Proceedings of the MLCB NIPS'10 Workshop, Vancouver, 2010.
[33]	Grandvalet, Y., Chiquet, J. & Ambroise, C. Inférence jointe de la structure de modèles graphiques gaussiens. In actes de CAp'10, Clermont-Ferrand, 2010.
2009
[34]	Ambroise, C., Chiquet, J. & Matias, C. Inferring sparse Gaussian graphical models with latent structure. Electronic Journal of Statistics, 3():205-238, 2009.
[35]	Chiquet, J., Smith, A., Grasseau, G., Matias, C. & Ambroise, C. SIMoNe: Statistical Inference for MOdular NEtworks. Bioinformatics, 25(3):417-418, 2009.
[36]	Ambroise, C. & Dang, M. Data Analysis. , ():289-318, Wiley, 2009.
[37]	Latouche, P., Birmelé, E. & Ambroise, C. Advances in Data Analysis, Data Handling and Business Intelligence. , ():229-239, springer, 2009.
[38]	Chiquet, J., Charbonnier, C. & Ambroise, C. SIMoNe : Statistical Inference of Modular Network. In Workshop MODGRAPH, JOBIM'09, Nantes, 2009.
[39]	Latouche, P., Birmelé, E. & Ambroise, C. Uncovering overlapping clusters in biological networks. In Journées ouvertes en biologie, informatique et mathématiques (Jobim). Nantes, 2009.
2008
[40]	Birmelé, E., Elati, M., Rouveirol, C. & Ambroise, C. Identification of functional modules based on transcriptional regulation structure. BMC Proceedings, 2((Suppl 4):S4):, 2008.
[41]	Zanghi, H., Ambroise, C. & Miele, V. Fast Online Graph Clustering via Erdös Renyi Mixture. Pattern Recognition, 41(12):3592-3599, 2008.
2007
[42]	Avalos, M., Grandvalet, Y. & Ambroise, C. Parsimonious additive models. CSDA, 51(6):2851-2870, 2007.
[43]	Same, A., Ambroise, C. & Govaert, G. An online Classification EM algorithm based on the mixture model. Statistics and Computing, 17(3):209-218, 2007.
2006
[44]	Cord, A., Ambroise, C. & Cocquerez, J. Feature Selection in Robust Clustering based on Laplace Mixture. Pattern Recognition Letters, 27(6):627-635, 2006.
[45]	Same, A., Ambroise, C. & Govaert, G. A classification EM algorithm for binned data. Computational Statistics and Data Analysis, 51(2):466-480, 2006.
[46]	Zhu, X., Ambroise, C. & McLachlan, G. Selection bias in working with the top genes in supervised classification of tissue samples. Statistical Methodology, 3():29-41, 2006.
2005
[47]	Avalos, M., Grandvalet, Y. & Ambroise, C. Discrimination par modèles additifs parcimonieux. Revue d'Intelligence Artificielle, 19():661-682, 2005.
[48]	Ambroise, C. Modèles pour l'apprentissage statistique à partir de données complexes, mémoire d'habilitation à diriger des recherches. , 2005.
[49]	Jones, L., Ng, S., Ambroise, C., Monico, K. & McLachlan, G. Use of microarray data via model-based classification in the study and prediction of survival from lung cancer. , ():163-173, Springer, 2005.
[50]	Sujka, N., Govaert, G. & Ambroise, C. Interpretable Clustering via Model-Based Divisive Hierarchical Classification. In 29th Annual GFKL (Gesellschaft für Klassifikation), 2005.
2004
[51]	, (eds). Analyzing microarray gene expression data. , (), Wiley, 2004.
[52]	Avalos, M., Grandvalet, Y. & Ambroise, C. Généralisation du lasso aux modèles additifs.. In XXXVIèmes Journées de Statistique, 2004.
[53]	Avalos, M., Grandvalet, Y. & Ambroise, C. Penalized additive logistic regression for cardiovascular risk prediction.. In International Conference on Statistics in Health Sciences, 2004.
[54]	Charkaoui, N., Dubuisson, B., Ambroise, C. & Millemann, S. Decision tree classifer for vehicle failure isolation. In Fifth International Conference on Data Mining, Text Mining and their Business Applications, 2004.
[55]	Hamdan, H., Govaert, G., Ambroise, C. & Hervé, C. A mixture model approach for acoustic emission control of pressure equipment. In 5th International Conference on Acoustical and Vibratory Surveillance Methods and Diagnostic Techniques, 2004.
2003
[56]	Ambroise, C. & Dang, M. Analyse de données. , ():100-121, Hermès, 2003.
[57]	Ambroise, C. De l'importance du biais dans la sélection de gènes discriminants pour la prédiction de type de tumeurs. In Plateforme AFIA 2003, 2003.
[58]	Ambroise, C. Comments on Incremental Model Based Clustering for Large Data Sets with Small Clusters by Chris Fraley, Adrian Raftery, Ron Wehrens. In 54th session of the International Statistical Institute, 2003.
[59]	Avalos, M., Grandvalet, Y. & Ambroise, C. Regularization Methods for Additive Models. In Advances in Intelligent Data Analysis V, Lecture Notes in Computer Science (LNCS), 2810:509-520, springer, 2003.
[60]	McLachlan, G. & Ambroise, C. Selection bias in gene extraction in tumour classification. In 16th Australian Statistical Conference, 2003.
[61]	Same, A., Ambroise, C. & Govaert, G. A mixture model approach for binned data clustering. In Advances in Intelligent Data Analysis V, Lecture Notes in Computer Science (LNCS), 2810:265-274, springer, 2003.
[62]	Cord, M. & Ambroise, C. Techniques d'apprentissage pour l'indexation et la recherche d'images par le contenu. , 2003.
2002
[63]	Ambroise, C. & McLachlan, G. Selection Bias in Gene Extraction in Tumour Classification on Basis of Microarray Gene Expression Data. PNAS, 99(10):6562-6566, 2002.
[64]	Ambroise, C. & Govaert, G. A Mixture Model Approach to Datacube Clustering (Invited). In 26th Annual GFKL (Gesellschaft für Klassifikation), 2002.
[65]	Same, A., Govaert, G. & Ambroise, C. Classification de données discrètisées. In 34ème journées de statistiques, 2002.
2001
[66]	Ambroise, C. & Grandvalet, Y. Prediction of ozone peaks by mixture model. Ecological Modeling, 245():275-289, 2001.
[67]	Ambroise, C. Intégration de données qualitatives et quantitatives par les modèles de mélange(Invited). In Journée Didactique IS2 sur les Mélanges de Lois de Probabilités, 2001.
[68]	Ambroise, C., Denoeux, T., Govaert, G. & Smets, P. Learning from an imprecise teacher: probabilistic and evidential approaches. In Proceeding of ASMDA 2001, 2001.
[69]	Ambroise, C. & Govaert, G. Clustering and models. In Classification, Automation and New Media. Proceedings of the 24th Annual Conference of the Gesellshaft für Klassification, pages 1-16, springer, 2001.
[70]	Ambroise, C. & Govaert, G. Modèle de mélange et cartes de Kohonen (Invited). In Séminaire Méthodes Neuronales organisé par la Société Francaise de Statistique, 2001.
[71]	Ambroise, C. & Govaert, G. A mixture model approach for classifying doubtful labeled data. In Mixtures 2001, Recent Developments on Mixture Modelling, 2001.
[72]	Grandvalet, Y., D'alché-Buc, F. & Ambroise, C. Boosting Mixture Models for semi-supervised tasks. In ICANN 2001, pages 41-48, springer, 2001.
2000
[73]	Ambroise, C. & Govaert, G. Clustering by Maximizing a Fuzzy Classification Maximum Likelihood Criterion. In Compstat 2000, Prodeedings in Computational Statistics, 14th Symposium held in Utrecht, The Netherlands, pages 186-192, 2000.
[74]	Ambroise, C. & Govaert, G. EM Algorithm for Partially Known Labels. In Data Analysis, Classification, and Related Methods, Proceedings of the 7th Conference of the International Federation of Classication Societies (IFCS-2000), University of Namur, Belgium, pages 161-166, springer, 2000.
[75]	Ambroise, C. & Govaert, G. Mixture Models and Clustering (Invited). In 24th Annual GFKL (Gesellschaft für Klassifikation), 2000.
[76]	Ambroise, C. & Grandvalet, Y. Prediction of ozone peaks by mixture models. In International Conference on Applications of Machine Learning to Ecological Modelling, 2000.
1999
[77]	Ambroise, C. & Govaert, G. Classification spatiale utilisant des échantillons partiellement classés. In XXXI Journées de Statistique, Résumés, pages 407-410, 1999.
[78]	Granvalet, Y., Ambroise, C. & Canu, S. Local learning by sparse radial basis functions. In ICANN99, pages 233-238, IEE, 1999.
1998
[79]	Ambroise, C. & Govaert, G. Convergence Proof of an EM-type Algorithm for Spatial Clustering. Pattern Recognition Letters, 19():919-927, 1998.
[80]	Ambroise, C., Sèze, G., Badran, S. & Thiria, S. Hierarchical clustering of self organizing map for cloud classification. Neurocomputing, 30():47-52, 1998.
1997
[81]	Ambroise, C. Introduction à la reconnaissance des formes. , 1997.
1996
[82]	Ambroise, C. & Govaert, G. Constrained Clustering and Kohonen Self-Organizing Maps. Journal of Classification, 13(2):299-313, 1996.
[83]	Ambroise, C. & Govaert, G. Analyzing Dissimilarity Matrices using Kohonen Maps. In Proceeding of IFCS96, 1:425-430, 1996.
[84]	Ambroise, C. Approche probabiliste en classification automatique et contraintes de voisinage. , 1996.
1995
[85]	Ambroise, C. & Govaert, G. Self-organization for Gaussian Parsimonious Clustering. In Proceeding of ICANN1995, 1:425-430, 1995.

Ici un exemple : <btex>lab:lamme</btex>

2024
[1]	Jawad, H. & light'>Brunel, N.J.B. QROA: A Black-Box Query-Response Optimization Attack on LLMs. , 2024., (working paper or preprint).
2023
[2]	Clight'>hen, S., light'>Brunel, N.J.B., Yang, X. & Cui, X. Learning Interactions in Reaction Diffusion Equations by Neural Networks. Entropy, 25(3):489, MDPI, 2023.
2022
[3]	light'>Brunel, N.J.B. & Ibrahim light'>Amoukou, S. Consistent Sufficient Explanations and Minimal Local Rules for explaining any classifier or regressor. In Neural Information Processing Systems, 2022.
2019
[4]	Lucio, F., Pagès, G. & Sagna, A. Markovian and product quantization of an \mathbb R>d-valued Euler sclight'>heme of a diffusion process with applications to finance. Methodology and Computing in Applied Probability, 21:1087-1118, Springer Verlag, 2019.
[5]	Kramkov, D. & Pulido, S. Density of tlight'>he set of probability measures with tlight'>he martingale representation property. Annals of Probability, 47(4):2563-2581, Institute of Matlight'>hematical Statistics, 2019.
[6]	Clément, E., light'>Gloter, A. & Nguyen, H. LAMN property for tlight'>he drift and volatility parameters of a sde driven by a stable Lévy process. ESAIM: Probability and Statistics, 23:136-175, EDP Sciences, 2019.
[7]	Lemay, M.A., Torkamaneh, D., Rigaill, G., Boyle, B., Stec, A.O., Stupar, R.M. & Belzile, F. Screening populations for copy number variation using genotyping-by-sequencing: a proof of concept using soybean fast neutron mutants. BMC Genomics, 20:634, BioMed Central, 2019.
[8]	Profeta, C., Yano, K. & Yano, Y. Local time penalizations with various clocks for one-dimensional diffusions. J. Math. Soc. Japan, 71(1):203-233, 2019.
[9]	Morel, M., Bacry, E., Gaïffas, S., light'>Guilloux, A. & Leroy, F. ConvSCCS: convolutional self-controlled case-seris model for lagged adverser event detection. Biostatistics, Oxford University Press (OUP), 2019.
[10]	Lannes, R., Rizzon, C. & Lerat, E. Does tlight'>he Presence of Transposable Elements Impact tlight'>he Epigenetic Environment of Human Duplicated Genes?. Genes, 10(3):249, MDPI, 2019.
[11]	Vinet, M., Suresh, S., Maire, V., Monclight'>hecourt, C., Nemati, F., Lesage, L., Pierre, F., Ye, M., Lescure, A., Brisson, A., Meseure, D., Nicolas, A., Rigaill, G., Marangoni, E., del Nery, E., Roman-Roman, S. & Dubois, T. Protein arginine methyltransferase 5: A novel tlight'>herapeutic target for triple-negative breast cancers. Cancer Medicine, 8(5):2414-2428, Wiley, 2019.
[12]	Alaya, M.Z., Bussy, S., Gaïffas, S. & light'>Guilloux, A. Binarsity: a penalization for one-hot encoded features. Journal of Machine Learning Research, 20(118):1-34, Microtome Publishing, 2019.
[13]	Profeta, C. & Vrins, F. Piecewise Constant Martingales and Lazy Clocks. Probability, Uncertainty and Quantitative Risk, 4(2), American Institute of Matlight'>hematical Sciences , 2019.
[14]	Profeta, C. & Simon, T. Cramér's estimate for stable processes with power drift. Electronic Journal of Probability, 24:275, Institute of Matlight'>hematical Statistics (IMS), 2019.
[15]	Matoussi, A., Possamaï, D. & Sabbagh, W. Probabilistic interpretation for solutions of fully nonlinear stochastic PDEs. Probability Tlight'>heory and Related Fields, 174:177-233, Springer Verlag, 2019.
[16]	Palomares, M.A., light'>Dalmasso, C., Bonnet, E., Derbois, C., Brohard-Julien, S., light'>Ambroise, C., Battail, C., Deleuze, J.F. & Olaso, R.E. Systematic analysis of TruSeq, SMARTer and SMARTer Ultra-Low RNA-seq kits for standard, low and ultra-low quantity samples.. Scientific Reports, 9:1-12, Nature Publishing Group, 2019.
[17]	Fiorin, L., Pagès, G. & Sagna, A. Product Markovian Quantization of a Diffusion Process with Applications to Finance. Methodology and Computing in Applied Probability, 21(4):1087-1118, Springer Verlag, 2019.
[18]	light'>Bayad, A. JACOBI FORMS IN TWO VARIABLES: MULTIPLE ELLIPTIC DEDEKIND SUMS, Tlight'>HE KUMMER-VON STAUDT CLAUSEN CONGRUENCES FOR ELLIPTIC BERNOULLI FUNCTIONS AND VALUES OF light'>HECKE L-FUNCTIONS. Montes Taurus Journal of Pure and Applied Matlight'>hematics, 1(2):58-129, 2019.
[19]	Maire, V., Mahmood, F., Rigaill, G., Ye, M., Brisson, A., Nemati, F., Gentien, D., Tucker, G.C., Roman-Roman, S. & Dubois, T. LRP8 is overexpressed in estrogen-negative breast cancers and a potential target for tlight'>hese tumors. Cancer Medicine, 8(1):325-336, Wiley, 2019.
[20]	light'>Bayad, A. & Seddik, M. On cubic Thue equations and tlight'>he indices of algebraic integers in cubic fields. Applicable Analysis and Discrete Matlight'>hematics, 13(3):774-786, Department of Applied Matlight'>hematics, University of Belgrade, 2019.
[21]	Bussy, S., light'>Guilloux, A., Gaïffas, S. & Jannot, A.S. C-mix: a high dimensional mixture model for censored durations, with applications to genetic data. Statistical Methods in Medical Research, 28(5):1523-1539, SAGE Publications, 2019.
[22]	Bielecki, T.R., Clight'>hen, T., Cialenco, I., Cousin, A. & light'>Jeanblanc, M. Adaptive Robust Control Under Model Uncertainty. SIAM Journal on Control and Optimization, 57(2):925-946, Society for Industrial and Applied Matlight'>hematics, 2019.
[23]	Abi Jaber, E., Larsson, M. & Pulido, S. Affine Volterra processes. Tlight'>he Annals of Applied Probability, 29(5):3155-3200, Institute of Matlight'>hematical Statistics (IMS), 2019.
[24]	Robin, G., light'>Ambroise, C. & Robin, S.S. Incomplete graphical model inference via latent tree aggregation. Statistical Modelling, 19(5):545-568, SAGE Publications, 2019.
[25]	Etclight'>hegaray, C. & Meunier, N. A stochastic model for cell adlight'>hesion to tlight'>he vascular wall. Journal of Matlight'>hematical Biology, Springer, 2019.
[26]	light'>Bayad, A., Kim, D. & Li, Y. Arithmetical properties of double Möbius-Bernoulli numbers. Open Matlight'>hematics Journal, 17(1):32-42, Bentham Open, 2019.
[27]	Bussy, S., Veil, R., Looten, V., Burgun, A., Gaiffas, S., light'>Guilloux, A., Ranque, B. & Jannot, A.S. Comparison of methods for early-readmission prediction in a high-dimensional light'>heterogeneous covariates and time-to-event outcome framework. BMC Medical Research Methodology, 19(1):50, BioMed Central, 2019.
[28]	Meunier, N. & Muller, N. Modelling tlight'>he inflammatory process in atlight'>herosclerosis: a nonlinear renewal equation. Acta Applicandae Matlight'>hematicae, 161(1), Springer Verlag, 2019.
[29]	Clément, E. & light'>Gloter, A. Estimating functions for SDE driven by stable Lévy processes. Annales de l'Institut light'>Henri Poincaré (B) Probabilités et Statistiques, 55(3):1316-1348, Institut light'>Henri Poincaré (IHP), 2019.
[30]	Forst, E., Enjalbert, J., Allard, V., light'>Ambroise, C., Krissaane, I., Mary Huard, T., Robin, S. & Goldringer, I. A generalized statistical framework to assess mixing ability from incomplete mixing designs using binary or higlight'>her order variety mixtures and application to wlight'>heat. Field Crops Research, 242:107571, Elsevier, 2019.
[31]	light'>Chamorro, D., Jarrín, O. & Lemarié-Rieusset, P.G. Frequency decay for Navier-Stokes stationary solutions. Comptes Rendus. Mathématique, 357(2):175-179, Académie des sciences (Paris), 2019.
[32]	Fearnlight'>head, P. & Rigaill, G. Changepoint detection in tlight'>he presence of outliers. Journal of tlight'>he American Statistical Association, 114(525):169-183, Taylor \& Francis, 2019.
[33]	Adiga, C., light'>Bayad, A. & Dasappa, R. Some new congruences for (s,t)-regular bipartition functions. Array, 106(120):53-67, Elsevier, 2019.
[34]	light'>Bayad, A. & Hajli, M. On tlight'>he multidimensional zeta functions associated with tlight'>heta functions, and tlight'>he multidimensional Appell polynomials. Matlight'>hematical Methods in tlight'>he Applied Sciences, 43(5):2679-2694, Wiley, 2019.
[35]	light'>Clight'>hevalier, E., Vath, V.L. & Mnif, M. Path-dependent American options. Tlight'>he Journal of Computational Finance, 23(1):61-95, Incisive Media, 2019.
[36]	Profeta, C. Persistence and exit times for some additive functionals of skew Bessel processes. Journal of Tlight'>heoretical Probability, pages doi.org/10.1007/s10959-019-00966-1, Springer, 2019.
[37]	Billat, V., Carbillet, T., light'>Correa, M. & Pycke, J.R. Detecting tlight'>he marathon asymmetry with a statistical signature. Physica A: Statistical Mechanics and its Applications, 515:240-247, Elsevier, 2019.
[38]	light'>Ambroise, C., light'>Dehman, A., Neuvial, P., Rigaill, G. & Vialaneix, N. Adjacency-constrained hierarchical clustering of a band similarity matrix with application to Genomics. Algorithms for Molecular Biology, 14:22, BioMed Central, 2019.
[39]	Fislight'>her, T., Pulido, S. & Ruf, J. Financial Models with Defaultable Numéraires. Matlight'>hematical Finance, 29(1):117-136, Wiley, 2019.
[40]	Barrera, D., Crépey, S., light'>Diallo, B., Fort, G., Gobet, E. & Stazhynski, U. Stochastic Approximation Sclight'>hemes for Economic Capital and Risk Margin Computations. ESAIM: Proceedings and Surveys, 65:182-218, EDP Sciences, 2019.
[41]	Meunier, N., Mouhot, C. & Roux, R. Long time behavior in locally activated random walks. Communications in Matlight'>hematical Sciences, 17(4):1071-1094, International Press, 2019.
[42]	Kharroubi, I., Lim, T. & Mastrolia, T. Regulation of renewable resource exploitation. SIAM Journal on Control and Optimization, 58(1):551-579, Society for Industrial and Applied Matlight'>hematics, 2019.
[43]	Jabir, J.F. & Profeta, C. A stable Langevin model with diffusive-reflective boundary conditions. Stochastic Processes and tlight'>heir Applications, 129(11):4269-4293, Elsevier, 2019.
[44]	Bartouli, I., Derbali, A., Chraygui, M.E. & light'>Lerbet, J. Cohomology of V ect ( R ) acting on tlight'>he space of bilinear differential operators. Journal of Geometry and Physics, 138:317-330, Elsevier, 2019.
[45]	Bartouli, I., Derbali, A., Chraygui, M.E. & light'>Lerbet, J. Cohomology of V ect ( R ) acting on tlight'>he space of bilinear differential operators. Journal of Geometry and Physics, 138:317-330, Elsevier, 2019.
[46]	Blanclight'>het-Scalliet, C., light'>Jeanblanc, M. & Romo Roméro, R. Enlargement of filtration in discrete time. In Risk And Stochastics: Ragnar Norberg, pages 99-126, Worl Scientific, 2019.
[47]	Robin, S.S. & light'>Ambroise, C. Applications in Genomics. In HANDBOOK OF MIXTURE ANALYSIS, CRC PRESS-TAYLOR \& FRANCIS GROUP, 2019.
[48]	light'>Chiquet, J., Rigaill, G. & Sundqvist, M. A Multiattribute Gaussian Graphical Model for Inferring Multiscale Regulatory Networks: An Application in Breast Cancer. In Gene Regulatory Networks, pages 143-160, 2019.
[49]	Hulot, A., light'>Chiquet, J., Jaffrezic, F. & Rigaill, G. Fast tree aggregation for consensus hierarchical clustering: application to multi-omics data analysis. In Statistical Methods for Post-Genomic Data (SMPGD), 2019.
[50]	Massoumi, S., Challamel, N. & light'>Lerbet, J. Discrete and gradient Elasticity Cosserat Modeling of Granular Chains. In Powders and Granular Materials (PGMM ), 2019.
[51]	Souriau, R., Vigneron, V., light'>Lerbet, J. & Clight'>hen, H. Boltzmann Machines for signals decomposition. Application to Parkinson's Disease control. In Proc. du XXVIIème Colloque francophone de traitement du signal et des images (GRETSI 2019), 2019.
[52]	Lefebvre, V., Maillot, G., Szadkowski, E., Caromel, B., Massire, A., Baclight'>hellez, A., Touhami, N., Rigaill, G., Chadoeuf, J. & Lamour, K. Impact of host partial resistance on tlight'>he gene expression of Phytophthora capsici: consequences for pepper breeding. In 17. Eucarpia Meeting on Genetics and Breeding of Capsicum and Eggplant (2019), 2019.
[53]	Enjalbert, J., Allard, V., light'>Ambroise, C., Andrieu, B., Barot, S., Bentze, L., Blanc, E., Borg, J., Cantarel, A., Coléno, F., Pope de Vallavieille, C., Descoureaux, D., Dezette, D., Dubs, F., Feret, M., Forst, E., Fugeray-Scarbel, A., Galic, N., Gauffreteau, A., Gilet, J., Goldringer, I., Goussault, C., Hannachi, M., Hinsinger, P., Houivet, G., Hugoni, M., Jeuffroy, M.H., Kerbiriou, C., Labartlight'>he, P., Lata, J., Leroux, X., Lecarpentier, C., Leconte, M., Lejars, L., Lemain, B., Lemarié, S., Leny, F., Le Viol, I., Lusley, P., Mary-Huard, T., Mirlicourtois, E., Montagnier, C., Niboyet, A., Omon, B., Perronne, R., Piaud, S., Pin, S., Cervek, C., Jouanne, S., Piaud, S., Poly, F., Pommier, T., Porclight'>her, E., Saint-Jean, S., Salmon, S., Tropée, D., Vergnes, A., van Frank, G. & Vidal, T. An interdisciplinary approach to increase wlight'>heat within-field diversity and promote agro-ecosystem services. In European Conference on Crop Diversification, 2019.
[54]	light'>Lerbet, J., Challamel, N., Nilight'>cot, F. & Darve, F. Intrinsic Incremental Mechanics. In 4th International SEE Conference on Geometric Science of Information (GSI), 11712:51-54, 2019.
[55]	Souriau, R., Fourer, D., Clight'>hen, H., light'>Lerbet, J., Maaref, H. & Vigneron, V. High-Voltage Spindles detection from EEG signals using recursive synchrosqueezing transform. In GRETSI, 2019.
[56]	Massoumi, S., Challamel, N. & light'>Lerbet, J. Dynamique d'une Chaîne Granulaire en Flexion -Modèles Discrets et Continus. In CFM, 2019.
[57]	Marwan, H., Guy, C., Marrec Loïc, L. & light'>Lerbet, J. Timoslight'>henko beam under Winkler foundation. In 24 Congrès Français de Mécanique à Brest, 26-30 août 2019, 2019.
[58]	Gautreau, G., Bazin, A., Planel, R., Gaclight'>het, M., Dubois, M., Burlot, L., Perrin, A., Touchon, M., Rocha, E., light'>Ambroise, C., Matias, C., Médigue, C. & Vallenet, D. PanGBank: depicting microbial species diversity via PPanGGOLiN. , 2019., (Poster).
[59]	light'>Ambroise, C., light'>Dehman, A., Neuvial, P., Rigaill, G. & Vialaneix, N. Adjacency-constrained hierarchical clustering of a band similarity matrix with application to genomics. , 2019., (Poster).
[60]	light'>Chiquet, J., Rigaill, G. & Hulot, A. mergeTrees: Aggregating Trees. CRAN, 2019., ().
[61]	light'>Amorino, C. & light'>Gloter, A. Contrast function estimation for tlight'>he drift parameter of ergodic jump diffusion process. , 2019., (working paper or preprint).
[62]	light'>Kamari, H., Huet, S. & Taupin, M.L. RKHSMetaMod: An R package to estimate tlight'>he Hoeffding decomposition of an unknown function by solving RKHS ridge group sparse optimization problem. , 2019., (working paper or preprint).
[63]	Garcia de La Torre, V.S., Majorel-Loulergue, C., Gonzalez, D.A., Soubigou-Taconnat, L., Rigaill, G., Pillon, Y., Barreau, L., Thomine, S., Fogliani, B., Burtet-Sarramegna, V. & Merlot, S. Wide cross-species RNA-Seq comparison reveals a highly conserved role for Ferroportins in nickel hyperaccumulation in plants. , 2019., (working paper or preprint).
[64]	Alaya, M.B., Hajji, K. & light'>Kebaier, A. Improved adaptive Multilevel Monte Carlo and applications to finance. , 2019., (24 pages, 1 figure).
[65]	Laso-Jadart, R., Sugier, K., Petit, E., Labadie, K., Peterlongo, P., light'>Ambroise, C., Wincker, P., Jamet, J.L. & Madoui, M.A. Linking Allele-Specific Expression And Natural Selection In Wild Populations. , 2019., (working paper or preprint).
[66]	Bielecki, T.R., Jakubowski, J., light'>Jeanblanc, M. & Niew¦gªowski, M. Semimartingales and Shrinkage of Filtration. , 2019., (working paper or preprint).
[67]	Huet, S. & Taupin, M.L. Metamodel construction for sensitivity analysis. , 2019., (working paper or preprint).
[68]	light'>Clight'>hevalier, E., Ly Vath, V. & Roch, A. Optimal dividend and capital structure with debt covenants. , 2019., (working paper or preprint).
[69]	Fernández-Dalgo, P.G. & light'>Jarrin, O. Existence of infinite-energy and discretely self-similar global weak solutions for 3D MHD equations. , 2019., (working paper or preprint).
[70]	Marino, L. Schauder estimates for degenerate stable Kolmogorov equations. , 2019., (working paper or preprint).
[71]	light'>Jeanblanc, M. & Li, L. Characteristics and constructions of default times Characteristics and constructions of default times. , 2019., (working paper or preprint).
[72]	Di Tella, P. & light'>Jeanblanc, M. Martingale Representation in tlight'>he Enlargement of tlight'>he Filtration Generated by a Point Process. , 2019., (working paper or preprint).
[73]	Gapeev, P.V. & light'>Jeanblanc, M. Credit default swaps in two-dimensional models with various information flows *. , 2019., (working paper or preprint).
[74]	Gapeev, P.V., light'>Jeanblanc, M. & Wu, D. Projections in enlargements of filtrations under Jacod's hypotlight'>hesis and examples. , 2019., (working paper or preprint).
[75]	Bocchi, E., light'>He, J. & Vergara-light'>Hermosilla, G. Modelling and simulation of a wave energy converter. , 2019., (working paper or preprint).
2018
[76]	Lim, T. Quelques applications du contrôle stochastique aux mathématiques financières. , 2018.
[77]	Menozzi, S. Martingale problems for some degenerate Kolmogorov equations. Stochastic Processes and tlight'>heir Applications, 128(3):756-802, Elsevier, 2018., (44 pages).
[78]	Albert, E., Duboscq, R., Latreille, M., Santoni, S., Beukers, M., Bouclight'>het, J.P., Bitton, F., Gricourt, J., Poncet, C., Gautier, V., Jimenez-Gomez, J., Rigaill, G. & Causse, M. Allele-specific expression and genetic determinants of transcriptomic variations in response to mild water deficit in tomato. Tlight'>he Plant Journal, 96(3):635-650, Wiley, 2018.
[79]	Jonchère, V., Marisa, L., Greene, M., Virouleau, A., Buhard, O., Bertrand, R., Svrcek, M., Cervera, P., Goloudina, A., Guillerm, E., Coulet, F., Landman, S., Ratovomanana, T., Job, S., Ayadi, M., Elarouci, N., Armenoult, L., Merabtene, F., Dumont, S., Parc, Y., Lefèvre, J., André, T., Fléjou, J.F., light'>Guilloux, A., Collura, A., de Reynies, A. & Duval, A. Identification of Positively and Negatively Selected Driver Gene Mutations Associated With Colorectal Cancer With Microsatellite Instability Positive Selection Pressure Mutational Background Negative Selection Pressure Mutational Frequency Microsatellite length (bp). Cellular and Molecular Gastroenterology and light'>Hepatology, 6(3):277-300, Philadelphia, PA : American Gastroenterological Association, [2015]-, 2018.
[80]	light'>Gloter, A. & Loukianova, D. Jump filtering and efficient drift estimation for Lévy-driven SDEs. Annals of Statistics, 46(4), Institute of Matlight'>hematical Statistics, 2018.
[81]	light'>Guinot, F., Szafranski, M., light'>Ambroise, C. & Samson, F. Learning tlight'>he optimal scale for GWAS through hierarchical SNP aggregation. BMC Bioinformatics, 19(1):459, BioMed Central, 2018.
[82]	Etclight'>hegaray, C. & Meunier, N. Numerical solutions of a 2D fluid problem coupled to a nonlinear non-local reaction-advection-diffusion problem for cell crawling migration in a discoidal domain. International Journal of Matlight'>hematical Models and Methods in Applied Sciences, IET Inspec, 2018.
[83]	Profeta, C. A remark on positive sojourn times of symmetric processes. Journal of Applied Probability, 55(1):69-81, Cambridge University press, 2018.
[84]	light'>Bayad, A. & Goubi, M. Reciprocity formulae for generalized Dedekind-Vasyunin-light'>cotangent sums. Matlight'>hematical Methods in tlight'>he Applied Sciences, 42(4):1082-1098, Wiley, 2018.
[85]	Köksal Ersöz, E., Vidal, A. & Clément, F. Coupled multiple timescale dynamics in populations of endocrine neurons: Pulsatile and surge patterns of GnRH secretion. SIAM Journal on Applied Dynamical Systems, 17(1):1052-1090, Society for Industrial and Applied Matlight'>hematics, 2018.
[86]	light'>Bayad, A. & Komatsu, T. Zeta functions interpolating tlight'>he convolution of tlight'>he Bernoulli polynomials. Integral Transforms and Special Functions, 29(8):611-622, Taylor \& Francis, 2018.
[87]	Lloyd, A., Blary, A., Charif, D., Charpentier, C., Tran, J., Balzergue, S., Delannoy, E., Rigaill, G. & Jenczewski, E. Homoeologous exchanges cause extensive dosage-dependent gene expression changes in an allopolyploid crop. New Phytologist, 217(1):367-377, Wiley, 2018.
[88]	Sadacca, B., Hamy, A.S., Laurent, C., Gestraud, P., Bonsang-Kitzis, H., Pinlight'>heiro, A., Abecassis, J., Neuvial, P. & Reyal, F. New insight for pharmacogenomics studies from tlight'>he transcriptional analysis of two large-scale cancer cell line panels (vol 7, 15126, 2016). Scientific Reports, 8, Nature Publishing Group, 2018., (Author Correction: New insight for pharmacogenomics studies from tlight'>he transcriptional analysis of two large-scale cancer cell line panels).
[89]	Etclight'>hegaray, C. & Meunier, N. A stochastic model for protrusion activity. ESAIM: Proceedings and Surveys, EDP Sciences, 2018.
[90]	light'>Guinot, F., Szafranski, M., light'>Ambroise, C. & Samson, F. Learning tlight'>he optimal scale for GWAS through hierarchical SNP aggregation. BMC Bioinformatics, 19, BioMed Central, 2018.
[91]	light'>He, J. & Mammeri, Y. Remark on tlight'>he well-posedness of weakly dispersive equations. ESAIM: Proceedings and Surveys, 64:111-120, EDP Sciences, 2018.
[92]	Pagès, G. & Sagna, A. Improved error bounds for quantization based numerical sclight'>hemes for BSDE and nonlinear filtering. Stochastic Processes and tlight'>heir Applications, 128:847-883, Elsevier, 2018.
[93]	Celisse, A., Marot, G., Male, P.J. & Rigaill, G. New efficient algorithms for multiple change-point detection with reproducing kernels. Computational Statistics and Data Analysis, 128:200-220, Elsevier, 2018.
[94]	Cacace, S., Camilli, F. & light'>Corrias, L. A Differential Model for Growing Sandpiles on Networks. SIAM Journal on Matlight'>hematical Analysis, 50(3):2509-2535, Society for Industrial and Applied Matlight'>hematics, 2018.
[95]	light'>Bayad, A. & Kim, D. Mean Values of Products of L-Functions and Bernoulli Polynomials. Matlight'>hematics , 6(12):337, MDPI, 2018.
[96]	Filipovic, D., Ackerer, D. & Pulido, S. Tlight'>he Jacobi Stochastic Volatility Model. Finance and Stochastics, 22(3):667-700, Springer Verlag (Germany), 2018.
[97]	light'>Chamorro, D. & Menozzi, S. Non Linear Singular Drifts and Fractional Operators: wlight'>hen Besov meets Morrey and Campanato. Potential Analysis, 49(1):1-35, Springer Verlag, 2018.
[98]	Etclight'>hegaray, C. & Meunier, N. Crawling migration under clight'>hemical signalling: A stochastic model. Matlight'>hematical Methods in tlight'>he Applied Sciences, 41(18):8799-8815, Wiley, 2018.
[99]	Clément, E., light'>Gloter, A. & Nguyen, H. Asymptotics in small time for tlight'>he density of a stochastic differential equation driven by a stable Lévy process. ESAIM: Probability and Statistics, 22:58-95, EDP Sciences, 2018.
[100]	Billat, V., light'>Brunel, N.J.B., Carbillet, T., Labbé, S. & Samson, A. Humans are able to self-paced constant running accelerations until exhaustion. Physica A: Statistical Mechanics and its Applications, 506:290-304, Elsevier, 2018.
[101]	Profeta, C. On tlight'>he supremum of products of symmetric stable processes. Electronic Communications in Probability, 23(none), Institute of Matlight'>hematical Statistics (IMS), 2018.
[102]	light'>Jarrin, O. Descriptions déterministes de la turbulence dans les équations de Navier-Stokes. , 2018.
[103]	Malbert, B., Rigaill, G., Brunaud, V., Lurin, C. & Delannoy, E. Bioinformatic analysis of chloroplast gene expression and RNA posttranscriptional maturations using RNA Sequencing. In Plastids, 1829:16, Humana Press Inc., 2018.
[104]	Sow, M.D., Allona, I., light'>Ambroise, C., Conde, D., Fichot, R.R., Gribkova, S., Jorge, V., Le Provost, G., Pâques, L., Plomion, C., Salse, J., Sanclight'>hez Rodriguez, L., Segura, V., Tost, J. & Maury, S. Epigenetics in Forest Trees: State of tlight'>he Art and Potential Implications for Breeding and Management in a Context of Climate Change. In Plant Epigenetics Coming of Age for Breeding Applications, 88:454 p., Academic press, Elsevier, 2018., (Chapitre 12).
[105]	light'>Chamorro, D. Espacios de Lebesgue y de Lorentz. In Espacios de Lebesgue y de Lorentz, 2018.
[106]	Pycke, J.R. On a Characterization of Poisson law with applications to tlight'>he extended risk model in non-life insurance.. In Proceedings of tlight'>he 7th Annual International Conference on Computational Matlight'>hematics, Computational Geometry \& Statistics (CMCGS 2108), 2018.
[107]	light'>Bayad, A. Note on Möbius-Bernoulli numbers. In Proceedings Book of MICOPAM 2018, 20, 2018.
[108]	Gautreau, G., light'>Ambroise, C., Matias, C., Perrin, A., Planel, R., Touchon, M., Médigue, C., Rocha, E., Cruveiller, S. & Vallenet, D. PPanGGOLiN: Depicting microbial diversity via a Partitioned Pangenome Graph. In Genome Informatics 2018, 2018.
[109]	Hulot, A., light'>Chiquet, J., Jaffrezic, F. & Rigaill, G. Fused-ANOVA : une méthode de clustering en grande dimension. In 50èmes Journées de Statistique, 2018.
[110]	light'>Brunel, N., Goujot, D., Labartlight'>he, S. & Laroclight'>he, B. Parameter estimation for dynamical systems using an FDA approach. In 11th International Conference of tlight'>he ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018), 2018.
[111]	Gautreau, G., light'>Ambroise, C., Matias, C., Perrin, A., Planel, R., Touchon, M., Médigue, C., Rocha, E., Cruveiller, S. & Vallenet, D. PPanGGOLiN: Depicting microbial diversity via a Partitioned Pangenome Graph. In JOBIM 2018 Journées Ouvertes Biologie, Informatique et Mathématiques, 2018.
[112]	light'>Ambroise, C., light'>Dehman, A., Koskas, M., Neuvial, P., Rigaill, G. & Vialaneix, N. Adjacency-constrained hierarchical clustering of a band similarity matrix with application to genomics. In Journée Régionale de Bioinformatique et Biostatistique, Génopole Toulouse, 2018.
[113]	Sundqvist, M., de Koning, L., Rigaill, G., Dubois, T. & light'>Chiquet, J. PO-435 Proteomic classification of triple negative breast cancer. , 3:A402, 2018., (Poster).
[114]	Virouleau, A., light'>Guilloux, A., Gaïffas, S. & Bogdan, M. HIGH-DIMENSIONAL ROBUST REGRESSION AND OUTLIERS DETECTION WITH SLOPE. , 2018., (working paper or preprint).
[115]	Lim, T., Kharroubi, I. & Ly-Vath, V. Optimal Exploitation of a Resource with Stochastic Population Dynamics and Delayed Renewal. , 2018., (working paper or preprint).
[116]	Fernando Cortez, M. & light'>Jarrin, O. Optimal decay and asymptotic behavior of solutions to a non-local perturbed KdV equation. , 2018., (working paper or preprint).
[117]	Coculescu, D. & light'>Jeanblanc, M. STRUCTURE CONDITIONS UNDER SHORT-SALES CONSTRAINTS AND APPLICATIONS TO CONVERGING ASSET PRICES. , 2018., (working paper or preprint).
[118]	Crépey, S. & Nguyen, T.M. Nonlinear Monte Carlo sclight'>hemes for counterparty risk on credit derivatives. , 2018., (working paper or preprint).
[119]	Crépey, S. & Song, S. Counterparty risk and funding: immersion and beyond. , 2018., (working paper or preprint).
[120]	light'>Aksamit, A., Choulli, T. & light'>Jeanblanc, M.R. THIN TIMES AND RANDOM TIMES' DECOMPOSITION. , 2018., (working paper or preprint).
[121]	light'>Armenti, Y., Crépey, S. & Zhou, C. Tlight'>he Sustainable Black-Scholes Equations. , 2018., (working paper or preprint).
[122]	light'>Armenti, Y., Crépey, S., Drapeau, S. & Papapantoleon, A. Multivariate Shortfall Risk Allocation and Systemic Risk. , 2018., (working paper or preprint).
[123]	Alaya, M.Z., light'>Lemler, S., light'>Guilloux, A. & Allart, T. High-dimensional time-varying Aalen and Cox models. , 2018., (working paper or preprint).
[124]	light'>Gloter, A., Honoré, I. & Loukianova, D. NON-ASYMPTOTIC CONCENTRATION INEQUALITY FOR AN APPROXIMATION OF Tlight'>HE INVARIANT DISTRIBUTION OF A DIFFUSION DRIVEN BY COMPOUND POISSON PROCESS. , 2018., (working paper or preprint).
[125]	Brigo, D., light'>Jeanblanc, M. & Vrins, F. SDEs with uniform distributions: Peacocks, Conic martingales and mean reverting uniform diffusions. , 2018., (working paper or preprint).
[126]	Clément, E. & light'>Gloter, A. Estimating functions for SDE driven by stable Lévy processes. , 2018., (working paper or preprint).
[127]	Abbas-Turki, L.A., Crépey, S. & light'>Diallo, B. XVA Principles, Nested Monte Carlo Strategies, and GPU Optimizations. , 2018., (working paper or preprint).
2017
[128]	light'>Chamorro, D., Gilles Lemarié-Rieusset, P. & Mayoufi, K. Local stability of energy estimates for tlight'>he Navier--Stokes equations. In International Conference on Vorticity, Rotation and Symmetry (IV)-Complex Fluids and tlight'>he Issue of Regularity, 710:53-64, 2017.
2015
[129]	light'>Clight'>hevalier, E., Vath, V.L., Roch, A. & Slight'>cotti, S. Optimal exit strategies for investment projects. Journal of Matlight'>hematical Analysis and Applications, 425(2):666-694, Elsevier, 2015.
[130]	Cinti, C., Menozzi, S. & Polidoro, S. Two-Sided Bounds for Degenerate Processes with Densities Supported in Subsets of \(\BbbR>N\). Potential Anal., 42(1):39-98, 2015.
[131]	Latouclight'>he, P., Birmele, E. & light'>Ambroise, C. Handbook of Mixed Membership Models and Tlight'>heir Applications. , pages 547-568Chapman and Hall, 2015.
[132]	light'>Gaigi, M. Problèmes de contr\>ole stochastique sous contraintes de risque de liquidité. , 2015.
[133]	light'>Guilloux, A., light'>Lemler, S. & Taupin, M. Adaptive estimation of tlight'>he baseline hazard function in tlight'>he Cox model by model selection, with high-dimensional covariates. , 2015.
[134]	Pierre-Jean, M. Non parametric DNA copy number segmentation using kernels. , 2015., (SMPGD'2015).
2014
[135]	Latouclight'>he, P., Birmele, E. & light'>Ambroise, C. Model Selection in Overlapping Stochastic Block Models. Electronic Journal of Statistics, 8:762-794, 2014.
[136]	Comets, F., Falconnet, M., Loukianov, O., Loukianova, D. & Matias, C. Maximum likelihood estimator consistency for ballistic random walk in a parametric random environment. Stochastic Processes and Applications, 124(1):268-288, 2014., (http://hal.archives-ouvertes.fr/hal-00744629).
[137]	Dedecker, J., Samson, A. & Taupin, M.L. Estimation in autoregressive model with measurement error. ESAIM Probab. \& Stat., 18():277-307, 2014., (http://dx.doi.org/10.1051/ps/2013037).
[138]	Falconnet, M., Loukianova, D. & Matias, C. Asymptotic normality and efficiency of tlight'>he maximum likelihood estimator for tlight'>he parameter of a ballistic random walk in a random environment. Matlight'>hematical Methods of Statistics, 23(1):1-19, 2014., (http://hal.archives-ouvertes.fr/hal-00783980).
[139]	light'>Lemler, S. Oracle inequalities for tlight'>he Lasso in tlight'>he high-dimensional Aalen multiplicative intensity model. Accepted in Les Annales de l'Institut light'>Henri Poincaré, 00(?), 2014.
[140]	Nguyen, V. & Matias, C. Nonparametric estimation of tlight'>he density of tlight'>he alternative hypotlight'>hesis in a multiple testing setup. Application to local false discovery rate estimation. ESAIM: Probab. and Statist., eFirst, 2014., (http://arxiv.org/abs/1210.1547).
[141]	Nguyen, V. & Matias, C. On efficient estimators of tlight'>he proportion of true null hypotlight'>heses in a multiple testing setup. Scandinavian Journal of Statistics, 00, 2014., (http://hal.archives-ouvertes.fr/hal-00647082/fr/).
[142]	Pierre-Jean, M., Rigaill, G. & Neuvial, P. Performance evaluation of DNA copy number segmentation methods. Briefings in Bioinformatics, 2014.
[143]	light'>crepey, S., light'>Grbac, Z., Ngor, N. & Skovmand, D. A Lévy HJM multiple-curve model with application to CVA computation. Quantitative Finance, 2014., (Forthcoming (DOI:10.1080/14697688.2014.942232)).
[144]	light'>crepey, S. & Rahal, A. Simulation/regression pricing sclight'>hemes for CVA computations on CDO tranclight'>hes. Comm. Statist. Tlight'>heory Methods, 43(7):1390-1408, 2014.
[145]	Achdou, Y., Camilli, F. & light'>Corrias, L. On numerical approximation of tlight'>he Hamilton-Jacobi-transport system arising in high frequency approximations. Discrete Contin. Dyn. Syst. Ser. B, 19(3):629-650, 2014.
[146]	Ankirchner, S., light'>Jeanblanc, M. & Kruse, T. BSDEs with singular terminal condition and a control problem with constraints. SIAM J. Control Optim., 52(2):893-913, 2014.
[147]	Ankirchner, S., light'>Jeanblanc, M. & Kruse, T. BSDEs with Singular Terminal Condition and a Control Problem with Constraints. SIAM Journal on Control and Optimization, 2014.
[148]	light'>Banica, V., Faou, E. & Miot, E. Collisions of Vortex Filament Pairs. J. Nonlinear Sci., 24(6):1263-1284, 2014.
[149]	light'>Banica, V. & Ignat, L.I. Dispersion for tlight'>he Schrödinger equation on tlight'>he line with multiple Dirac delta potentials and on delta trees. Anal. PDE, 7(4):903-927, 2014.
[150]	light'>Bayad, A. & Beck, M. Relations for Bernoulli-Barnes numbers and Barnes zeta functions. Int. J. Number Tlight'>heory, 10(5):1321-1335, 2014.
[151]	light'>Bayad, A. & Chikhi, J. Apostol-Euler polynomials and asymptotics for negative binomial reciprocals. Adv. Stud. Contemp. Math. (Kyungshang), 24(1):33-37, 2014.
[152]	light'>Bayad, A. & Hamahata, Y. Multiple Dedekind-Rademaclight'>her sums in function fields. Int. J. Number Tlight'>heory, 10(5):1291-1307, 2014.
[153]	light'>Bayad, A. & Hamahata, Y. Multiple Dedekind--Rademaclight'>her sums in finite fields. Ramanujan J., 35(3):493-502, 2014.
[154]	light'>Bayad, A. & Simsek, Y. Convolution identities on tlight'>he Apostol-light'>Hermite base of two variables polynomials. Differ. Equ. Dyn. Syst., 22(3):309-318, 2014.
[155]	light'>Bayad, A., Simsek, Y. & Srivastava, H.M. Some array type polynomials associated with special numbers and polynomials. Appl. Math. Comput., 244:149-157, 2014.
[156]	Bielecki, T.R., Cousin, A., Crépey, .S. & light'>Herbertsson, A. Dynamic light'>Hedging of Portfolio Credit Risk in a Markov Copula Model. Journal of Optimization Tlight'>heory and Applications, 161(1):90-102, 2014.
[157]	Bielecki, T.R., Cousin, A., Crépey, S. & light'>Herbertsson, A. A bottom-up dynamic model of portfolio credit risk with stochastic intensities and random recoveries. Comm. Statist. Tlight'>heory Methods, 43(7):1362-1389, 2014.
[158]	Bielecki, T.R., Cousin, A., Crépey, S. & light'>Herbertsson, A. Dynamic light'>hedging of portfolio credit risk in a Markov copula model. J. Optim. Tlight'>heory Appl., 161(1):90-102, 2014.
[159]	light'>Chamorro, D. A molecular method applied to a non-local PDE in stratified Lie groups. J. Math. Anal. Appl., 413(2):583-608, 2014.
[160]	Chassagneux, J.F. & light'>crepey, S. Doubly reflected BSDEs with call protection and tlight'>heir approximation. ESAIM: Probability and Statistics, 18:613-641, 2014.
[161]	Clément, E., Delattre, S. & light'>Gloter, A. Asymptotic lower bounds in estimating jumps. Bernoulli, 20(3):1059-1096, 2014.
[162]	Clément, E. & light'>Gloter, A. Asymptotic lower bounds in estimating jumps.. A paraitre Bernoulli, 2014.
[163]	Clément, E. & light'>Gloter, A. Local Asymptotic Mixed Normality property for discretely observed stochastic differential equations driven by stable Lévy. Stochastic Processes and tlight'>heir Applications, 2014.
[164]	Comets, F., Falconnet, M., Loukianov, O., Loukianova, D. & Matias, C. Maximum likelihood estimator consistency for a ballistic random walk in a parametric random environment. Stochastic Process. Appl., 124(1):268-288, 2014.
[165]	light'>Corrias, L., Escobedo, M. & Matos, J. Existence, uniqueness and asymptotic behavior of tlight'>he solutions to tlight'>he fully parabolic Keller-Segel system in tlight'>he plane. J. Differential Equations, 257(6):1840-1878, 2014.
[166]	Denis, L., Matoussi, A. & Zhang, J. Tlight'>he obstacle problem for quasilinear stochastic PDEs: analytical approach. Ann. Probab., 42(3):865-905, 2014.
[167]	Denis, L., Matoussi, A. & Zhang, J. Maximum principle for quasilinear stochastic PDEs with obstacle. Electron. J. Probab., 19:no. 44, 32, 2014.
[168]	El Karoui, N., light'>Jeanblanc, M. & Jiao, J. Density approach in modelling multi-defaults. SIAM Journal on Financial Matlight'>hematics, 2014.
[169]	Falconnet, M., Loukianova, D. & Matias, C. Asymptotic normality and efficiency of tlight'>he maximum likelihood estimator for tlight'>he parameter of a ballistic random walk in a random environment. Math. Methods Statist., 23(1):1-19, 2014.
[170]	light'>Fontana, C. A note on arbitrage, approximate arbitrage and tlight'>he fundamental tlight'>heorem of asset pricing. Stochastics, 86(6):922-931, 2014.
[171]	light'>Fontana, C., light'>Grbac, Z., light'>Jeanblanc, M. & Li, Q. Information, no-arbitrage and completeness for asset price models with a change point. Stochastic Process. Appl., 124(9):3009-3030, 2014.
[172]	light'>Fontana, C., light'>Jeanblanc, M. & Song, S. On arbitrages arising with honest times. Finance Stoch., 18(3):515-543, 2014.
[173]	light'>Fontana, C., light'>Jeanblanc, M. & Song, S. On arbitrages arising with honest times. Finance and Stochastics, 2014.
[174]	light'>Fontana, C. & Montes, J.M.A. A unified approach to pricing and risk management of equity and credit risk. J. Comput. Appl. Math., 259(part B):350-361, 2014.
[175]	Geman, H. & light'>Jeanblanc, M. Marc Yor: a beautiful mind has disappeared. Stochastic Process. Appl., 124(6):v-vii, 2014.
[176]	light'>Hachicha, I. Global existence for a damped wave equation and convergence towards a solution of tlight'>he Navier-Stokes problem. Nonlinear Anal., 96:68-86, 2014.
[177]	light'>Henry, C., Minier, J.P., Mohaupt, M., Profeta, C., Pozorski, J. & Tanière, A. A stochastic approach for tlight'>he simulation of collisions between colloidal particles at large time steps. International Journal of Multiphase Flow, 61:94-107, 2014.
[178]	light'>Jeanblanc, M. & light'>Hirsch, F. Marc Yor 1949--2014. Mataplipages 51-55, 2014., (With remembrances of Yor by light'>Bernard Roynette).
[179]	light'>Jeanblanc, M. & Leniec, M. Role of Information In Pricing Default-Sensitive Contingent Claims. International Journal of Tlight'>heoretical and Applied Finance, 2014.
[180]	Kharroubi, I. & Lim, T. A decomposition approach for tlight'>he discrete-time approximation ofFBSDEs with a jump. Random Operators and Stochastic Equations, 2014.
[181]	Kharroubi, I. & Lim, T. Progressive enlargement of filtrations and backward stochastic differential equations with jumps. J. Tlight'>heoret. Probab., 27(3):683-724, 2014.
[182]	Kim, D., light'>Bayad, A. & Park, J. Euler polynomials and combinatoric convolution sums of divisor functions with even indices. Abstr. Appl. Anal., pages Art. ID 289187, 6, 2014.
[183]	light'>Lemarie-Rieusset, P.G. Erratum to: Multipliers and Morrey spaces [\refcno 3034598]. Potential Anal., 41(4):1359-1362, 2014.
[184]	Loclight'>herbach, E., Loukianov, O. & Loukianova, D. Spectral condition, hitting times and Nash inequality. Ann. Inst. light'>Henri Poincaré Probab. Stat., 50(4):1213-1230, 2014.
[185]	Profeta, C. On Dufresne's translated perpetuity and some Black-Scholes annuities. Analitika, 7(1):7-19, 2014.
[186]	Profeta, C. Some limiting laws associated with tlight'>he integrated Brownian motion. ESAIM: P\&S, 2014.
[187]	Profeta, C. & Sagna, A. Conditional hitting time estimation in nonlinear filtering model by Brownian Bridge method. Stochastics An International Journal of Probability and Stochastic, DOI: 10.1080/17442508.2014.924937, 2014.
[188]	Profeta, C. & Simon, T. Persistence of integrated stable processes. Probability Tlight'>heory and Related Fields, 2014.
[189]	Quenez, M.C. & Lim, T. Portfolio optimization in a default model under full/partial information. Probability in tlight'>he Engineering and Informational Sciences , 2014.
[190]	Song, S. Optional splitting formula in a progressively enlarged filtration. ESAIM Probability and Statistics, 18:829-853, 2014.
[191]	Srivastava, H.M., Gaboury, S. & light'>Bayad, A. Expansion formulas for an extended Hurwitz-Lerch zeta function obtained via fractional calculus. Adv. Difference Equ., pages 2014:169, 17, 2014.
[192]	light'>crepey, S. & Bielecki, T.R. Counterparty risk and funding. , pages xxii+365CRC Press, Boca Raton, FL, 2014., (A tale of two puzzles, With an introductory dialogue by Damiano Brigo).
[193]	light'>Jeanmougin, M., Charbonnier, C., light'>Guedj, M. & light'>Chiquet, J. Probabilistic Graphical Models for Genetics, Genomics and Postgenomics. , ():xxx, Oxford University Press, 2014.
[194]	Bielecki, T.R. & light'>Crepey, S. Dynamic light'>hedging of counterparty exposure. In Inspired by finance, pages 47-71, Springer, Cham, 2014.
[195]	El Karoui, N., light'>Jeanblanc, M., Jiao, Y. & Zargari, B. Conditional default probability and density. In Inspired by finance, pages 201-219, Springer, Cham, 2014.
[196]	light'>Hirsch, F. & Yor, M. Comparing Brownian stochastic integrals for tlight'>he convex order. In Modern stochastics and applications, 90:3-19, Springer, Cham, 2014.
[197]	Chazottes, J., Cuny, C., Dedecker, J., light'>Fan, X. & light'>Lemler, S. Limit tlight'>heorems and inequalities via martingale methods. In ESAIM: Proceedings, 44():177-196, , 2014.
[198]	Laloé, D., Jaffrezic, F., light'>Chiquet, J. & Gaultier, M. FLPCA: a fused-LASSO PCA-based approach to identify footprints of selection in differentiated populations from dense to SNP data: applications to human and cattle data. In Proceedings of tlight'>he International Biometric Conference, Florence, Italy, ():, , 2014.
[199]	light'>Aksamit, A. Random times, enlargement of filtration and arbitrages. , 2014.
[200]	light'>Kwemou, M. Réduction de dimension en régression logistique, application aux données ACTU-PALU. , 2014.
[201]	light'>Lemler, S. Estimation for counting processes with high-dimensional covariates. , 2014.
[202]	Nguyen, H. Contributions to Credit Risk and Interest Rate Modeling. , 2014.
[203]	light'>Aksamit, A. Random times, enlargement of filtration and arbitrages. , 2014.
[204]	Nguyen, H. Contributions to Credit Risk and Interest Rate Modeling. , 2014.
[205]	Andreoletti, P., Loukianova, D. & Matias, C. Parametric estimation of a one-dimensional ballistic random walk in a Markov reversible environment. , 2014.
[206]	light'>Kwemou, M., Taupin, M.L., Dos Santos, S. & Le light'>Hesran, J.Y. Variables Selection Strategies in large Socio-epidemiological Surveys. Identification of households at risk of having febrile episode in Dakar, Senegal. , 2014.
[207]	Matias, C. & Robin, S. Modeling light'>heterogeneity in random graphs: a selective review. , 2014.
2013
[208]	Nguyen, V. Modèles de mélange semi-paramétriques et applications aux tests multiples. , 2013.
[209]	Brito, I., Hupé, P., Neuvial, P. & Barillot, E. Stability-based comparison of class discovery methods for array-CGH profiles. PLoS One, 8(12):e81458, 2013.
[210]	Clight'>helaifa, H., Chagué, V., Chalabi, S., Mestiri, I., Arnaud, D., Deffains, D., Lu, Y., Belcram, H., Huteau, V., light'>Chiquet, J., Coriton, O., Just, J., Jahier, J. & Chaloub, B. Prevalence of gene expression additivity in genetically stable wlight'>heat allolight'>hexaploids. New Phytologist, 197(3):730-736, 2013.
[211]	Neuvial, P. Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators. Journal of Machine Learning Research, 14():1423\−1459, 2013.
[212]	light'>crepey, S. Preface [Frontiers of Counterparty Risk]. Int. J. Tlight'>heor. Appl. Finance, 16(2):1302001-9, 2013.
[213]	light'>crepey, S., Gerboud, R., light'>Grbac, Z. & Ngor, N. Counterparty risk and funding: tlight'>he four wings of tlight'>he TVA. Int. J. Tlight'>heor. Appl. Finance, 16(2):1350006-31, 2013.
[214]	light'>crepey, S., light'>Jeanblanc, M. & Wu, D. Informationally dynamized Gaussian copula. Int. J. Tlight'>heor. Appl. Finance, 16(2):1350008-29, 2013.
[215]	Aygunes, A.A., light'>Bayad, A. & Simsek, Y. light'>Hecke operators type and generalized Apostol-Bernoulli polynomials. Fixed Point Tlight'>heory Appl., pages 2013:92, 11, 2013.
[216]	light'>Banica, V. & Miot, E. Evolution, interaction and collisions of vortex filaments. Differential Integral Equations, 26(3-4):355-388, 2013.
[217]	light'>Banica, V. & Vega, L. Stability of tlight'>he self-similar dynamics of a vortex filament. Arch. Ration. Mech. Anal., 210(3):673-712, 2013.
[218]	light'>Bayad, A. & Chikhi, J. Möbius inversion formulae for Apostol-Bernoulli type polynomials and numbers. Math. Comp., 82(284):2327-2332, 2013.
[219]	light'>Bayad, A. & Chikhi, J. Reduction and duality of tlight'>he generalized Hurwitz-Lerch zetas. Fixed Point Tlight'>heory Appl., pages 2013:82, 14, 2013.
[220]	light'>Bayad, A. & Gaboury, S. Generalized Dirichlet \(L\)-function of arbitrary order with applications. Adv. Stud. Contemp. Math. (Kyungshang), 23(4):607-619, 2013.
[221]	light'>Bayad, A. & Goubi, M. Proof of tlight'>he Möbius conjecture revisited. Proc. Jangjeon Math. Soc., 16(2):237-243, 2013.
[222]	light'>Bayad, A. & Kim, T. Results on values of Barnes polynomials. Rocky Mountain J. Math., 43(6):1857-1869, 2013.
[223]	light'>Bayad, A., Kim, T., Kim, W.J. & Lee, S.H. Arithmetic properties of \(q\)-Barnes polynomials. J. Comput. Anal. Appl., 15(1):111-117, 2013.
[224]	light'>Bayad, A. & Simsek, Y. Values of twisted Barnes zeta functions at negative integers. Russ. J. Math. Phys., 20(2):129-137, 2013.
[225]	Bindusree, A.R., Lokesha, V., Ranjini, P.S. & light'>Bayad, A. Relation connecting Zagreb co-indices on three graph operators. Math. \AE terna, 3(5-6):433-448, 2013.
[226]	Callegaro, G., light'>Jeanblanc, M. & Zargari, B. Carthaginian enlargement of filtrations. ESAIM Probab. Stat., 17:550-566, 2013.
[227]	Callegaro, G., light'>Jeanblanc, M. & Zargari, B. Carthagian enlargement of filtrations. ESAIM: Probability and Statistics., 17:550-566, 2013.
[228]	Calvez, V. & light'>Corrias, L. Blow-up dynamics of self-attracting diffusive particles driven by competing convexities. Discrete Contin. Dyn. Syst. Ser. B, 18(8):2029-2050, 2013.
[229]	light'>Chamorro, D. A counterexample for improved Sobolev inequalities over tlight'>he 2-adic group. Commun. Korean Math. Soc., 28(2):231-241, 2013.
[230]	light'>Chamorro, D. & light'>Lemarie-Rieusset, P.G. Real interpolation method, Lorentz spaces and refined Sobolev inequalities. J. Funct. Anal., 265(12):3219-3232, 2013.
[231]	light'>Clight'>hevalier, E., Ly Vath, V. & Slight'>cotti, S. An optimal dividend and investment control problem under debt constraints. SIAM J. Financial Math., 4(1):297-326, 2013.
[232]	Clément, E., Delattre, S. & light'>Gloter, A. An infinite dimensional convolution tlight'>heorem with applications to tlight'>he efficient estimation of tlight'>he integrated volatility. Stochastic Process. Appl., 123(7):2500-2521, 2013.
[233]	Eberlein, E. & light'>Grbac, Z. Rating based Lévy Libor model. Math. Finance, 23(4):591-626, 2013.
[234]	Gaboury, S. & light'>Bayad, A. Series representations at special values of generalized Hurwitz-Lerch zeta function. Abstr. Appl. Anal., pages Art. ID 975615, 8, 2013.
[235]	light'>Gloter, A. & Martinez, M. Distance between two skew Brownian motions as a S.D.E. with jumps and law of tlight'>he hitting time. Ann. Probab., 41(3A):1628-1655, 2013.
[236]	light'>Hirsch, F. & Roynette, B. On \(\Bbb R>d\)-valued peacocks. ESAIM Probab. Stat., 17:444-454, 2013.
[237]	light'>Hirsch, F. & Yor, M. On tlight'>he Mellin transforms of tlight'>he perpetuity and tlight'>he remainder variables associated to a subordinator. Bernoulli, 19(4):1350-1377, 2013.
[238]	light'>Hirsch, F. & Yor, M. On tlight'>he remarkable Lamperti representation of tlight'>he inverse local time of a radial Ornstein-Uhlenbeck process. Bull. Belg. Math. Soc. Simon Stevin, 20(3):435-449, 2013.
[239]	light'>Jeanblanc, M. & Song, S. Martingale representation property in progressively enlarged filtrations. http://arxiv.org/pdf/1203.1447.pdf, 2013.
[240]	Kharroubi, I., Lim, T. & Ngoupeyou, A. Mean-variance light'>hedging on uncertain time horizon in a market with a jump. Appl. Math. Optim., 68(3):413-444, 2013.
[241]	Kim, D. & light'>Bayad, A. Convolution identities for twisted Eisenstein series and twisted divisor functions. Fixed Point Tlight'>heory Appl., pages 2013:81, 23, 2013.
[242]	Krupa, M., Vidal, A. & Clément, F. A network model of tlight'>he periodic synchronization process in tlight'>he dynamics of calcium concentration in GnRH neurons. J. Math. Neurosci., 3:Art. 4, 24, 2013.
[243]	light'>Lemarie-Rieusset, P.G. Small data in an optimal Banach space for tlight'>he parabolic-parabolic and parabolic-elliptic Keller-Segel equations in tlight'>he whole space. Adv. Differential Equations, 18(11-12):1189-1208, 2013.
[244]	light'>Lemarie-Rieusset, P.G. Multipliers and Morrey spaces. Potential Anal., 38(3):741-752, 2013.
[245]	light'>Lemarie-Rieusset, P.G. Small data in an optimal Banach space for tlight'>he parabolic-parabolic and parabolic-elliptic Keller-Segel equations in tlight'>he whole space.. Diff. Integ. Eq. 18, 2013.
[246]	light'>Lemarie-Rieusset, P.G. & light'>Chamorro, D. Real Interpolation method, Lorentz spaces and refined Sobolev inequalities.. Journal of Functional Analysis 265, 2013.
[247]	Loclight'>herbach, E. & Loukianova, D. Polynomial deviation bounds for recurrent Harris processes having general state space. ESAIM Probab. Stat., 17:195-218, 2013.
[248]	Profeta, C. On last passage times of linear diffusions to curved boundaries. Markov Process. Related Fields, 19(4):735-762, 2013.
[249]	Pycke, J.R. Tests d'adéquation à la mesure de Haar, identité de duplication de Watson et représentations d'un groupe compact. C. R. Math. Acad. Sci. Paris, 351(19-20):765-768, 2013.
[250]	light'>Gloter, A. & Martinez, M. Distance between two skew Brownian motions as a SDE with jumps and law of tlight'>he hitting time. Tlight'>he Annals of Probability, 41(3A), 2013., (27 pages).
[251]	light'>crepey, S. Financial modeling. , pages xx+459Springer, light'>Heidelberg, 2013., (A backward stochastic differential equations perspective, Springer Finance Textbooks).
[252]	light'>Chiquet, J. & Limnios, N. Stochastic Reliability and Maintenance Modeling. , 9():, Springer, 2013.
[253]	light'>Fontana, C. & Runggaldier, W.J. Diffusion-based models for financial markets without martingale measures. In Risk measures and attitudes, pages 45-81, Springer, London, 2013.
[254]	light'>Chiquet, J., Mary-Huard, T. & Robin, S. Multi-trait genomic selection via multivariate regression with structured regularization. In Proceedings of tlight'>he MLCB NIPS'13 workshop, ():, , 2013.
[255]	light'>Dehman, A., light'>Ambroise, C. & Neuvial, P. Incorporating linkage disequilibrium blocks in Genome-Wide Association Studies. In JOBIM proceeding 2013, ():, , 2013.
[256]	Gutierrez, P., Rigaill, G. & light'>Chiquet, J. A fast homotopy algorithm for a large class of weighted classification problems. In Proceedings of tlight'>he MLCB NIPS'13 workshop, South lake Thao, ():, , 2013.
[257]	Neuvial, P. Vers une médecine personnalisée grâce à la reclight'>herclight'>he en génomique. , 2013., (Variances Vol. 48 pp 31-33).
[258]	light'>Hachicha, I. Approximations hyperboliques des équations de Navier-Stokes. , 2013.
[259]	WU, D. Density model and its application to credit counterparty risk. , 2013.
[260]	light'>Hachicha, I. Approximations hyperboliques des équations de Navier-Stokes. , 2013.
[261]	WU, D. Density model and its application to credit counterparty risk. , 2013.
[262]	light'>crepey, S., Z., G., Ngor, N. & Skovmand, D. A Lévy HJM multiple-curve model with application to CVA computation. , 2013.
[263]	light'>Banica, V. & Vega, L. Tlight'>he initial value problem for tlight'>he binormal flow with rough data. , 2013.
[264]	light'>Clight'>hevalier, E., light'>Gaigi, M., Ly Vath, V. & Mnif, M. Optimal market making strategies under inventory constraints. , 2013.
[265]	light'>Clight'>hevalier, E., Ly Vath, V., A., R. & S., S. Optimal selling time under stochastic liquidity discount and regime shifting. , 2013.
[266]	light'>Clight'>hevalier, E., Ly Vath, V., A., R. & S., S. Optimal execution cost for liquidation through a limit order market. , 2013.
[267]	light'>Crepey, S. Counterparty Risk Modeling: Beyond immersion. , 2013.
[268]	light'>Fontana, C. No-arbitrage conditions and absolutely continuous changes of measure. , 2013.
[269]	light'>Fontana, C. Weak and strong no-arbitrage conditions for continuous financial markets. , 2013.
[270]	light'>Jeanblanc, M., Choulli, T., light'>Aksamit, A. & Deng, J. Arbitrages in a Progressive Enlargement Setting. , 2013.
[271]	light'>Jeanblanc, M., Choulli, T., Deng, J. & light'>Aksamit, A. Non-Arbitrage up to Random Horizon and after Honest Times for Semimartingale Models. , 2013.
[272]	light'>Jeanblanc, M., El Karoui, N. & Jiao, J. Density approach in modelling multi-defaults. , 2013.
[273]	light'>Jeanblanc, M., Iftimie, B., Lim, T. & H.N., N. Optimization problem under change of regime of interest rate. , 2013.
[274]	light'>Jeanblanc, M. & Leniec, M. Role of Information in Pricing Default-Sensitive Contingent Claims. , 2013.
[275]	light'>Jeanblanc, M. & Reveillac, A. A Note on BSDEs with singular coefficients. , 2013.
[276]	light'>Lemarie-Rieusset, P.G. Sobolev multipliers, maximal functions and parabolic equations with a quadratic nonlinearity. , 2013.
[277]	light'>Lemarie-Rieusset, P.G. On some classes of time-periodic solutions for tlight'>he Navier-Stokes equations in tlight'>he whole space. , 2013.
[278]	Li, Q., Lehalle, C.A. & Horst, U. Optimal Trading in a Two-Sided Limit Order Book. , 2013.
[279]	Profeta, C. On Dufresne's translated perpetuity and some Black-Scholes annuities. , 2013.
[280]	Profeta, C. Some limiting laws associated with tlight'>he integrated Brownian motion. , 2013.
[281]	Sagna, A. Marginal quantization of an Euler diffusion process and its application. , 2013.
[282]	Sezer, A. & Caglar, M. Dissemination in Fully Connected Networks. , 2013.
[283]	Song, S. Random time with differentiable conditional distribution function. , 2013.
[284]	Song, S. Optional splitting formula in a progressively enlarged filtration. , 2013.
[285]	Song, S. Local solution method for tlight'>he problem of enlargement of filtration. , 2013.
[286]	Song, S. An alternative proof of a result of Takaoka. , 2013.
[287]	ly Vath, V., light'>Gaigi, M., Mnif, M. & Toumi, S. Numerical approximation for a portfolio optimization problem under liquidity risk and costs. , 2013.
[288]	light'>Dehman, A. Incorporating Linkage Disequilibrium Blocks in Genome-Wide Association Studies. , 2013.
[289]	Pierre-Jean, M. Joint segmentation of total DNA copy number and allelic ratios in cancer samples. , 2013., (SMPGD'2013).
[290]	Pierre-Jean, M. Change-point detection with kernel methods : application to DNA copy number signals. , 2013., (45e Journées de Statistiques de la SFDS , Toulouse).
[291]	Pierre-Jean, M. Package R jointSeg : Segmentation de données génomiques en cancérologie. , 2013., (Rencontres R , Lyon).
2012
[292]	light'>Jeanmougin, M. Statistical methods for robust analysis of transcriptome data by integration of biological knowledge.. , 2012.
[293]	Acuna, V., Birmelé, E., light'>Cottret, L., Crescenzi, P., Jourdan, F., Lacroix, V., Marclight'>hetti-Spaccamela, A., Marinov, A., Vieira Milreu, P., Sagot, M.F. & Stougie, L. Telling Stories: Enumerating maximal directed acyclic graphs with a constrained set of sources and targets. Tlight'>heoretical Computer Science, 457(2):1-9, 2012.
[294]	light'>Ambroise, C. & Matias, C. New consistent and asymptotically normal parameter estimates for random graph mixture models. Journal of tlight'>he Royal Statistical Society: Series B, 74(1):3-35, 2012.
[295]	Bouaziz, M., Paccard, C., light'>Guedj, M. & light'>Ambroise, C. SHIPS: Spectral Hierarchical Clustering for tlight'>he Inference of Population Structure in Genetic Studies. PloS One, 7(10):e45685, 2012.
[296]	Chambaz, A., Neuvial, P. & van der Laan, M. Estimation of a non-parametric variable importance measure of a continuous exposure. Electronic Journal of Statistics, 6():1059-1099, 2012.
[297]	light'>Chiquet, J., Grandvalet, Y. & Charbonnier, C. Sparsity with sign-colight'>herent groups of variables via tlight'>he cooperative-Lasso. Tlight'>he Annals of Applied Statistics, 6(2):795-830, 2012.
[298]	Coustet, B., Bouaziz, M., Dieudé, P., light'>Guedj, M., Bossini-Castillo, L. & Et, A. Independent replication and metaanalysis of association studies establish TNFSF4 as a susceptibility gene preferentially associated with tlight'>he subset of anticentromere-positive patients with systemic sclerosis.. J Rlight'>heumatol, 39(5):997-1003, 2012.
[299]	Didier, G., Corel, E., Laprevotte, I., Grossmann, A. & light'>Devauclight'>helle, C. Variable length local decoding and alignment-free sequence comparison. Tlight'>heoretical Computer Science, 462():1-11, 2012.
[300]	Dillies, M., Rau, A., light'>Aubert, J., light'>Hennequet-Antier, C., light'>Jeanmougin, M. & Servant, N. A comprelight'>hensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis. Briefings in Bioinformatics, xx():, 2012.
[301]	Falconnet, M. & Behrens, S. Accurate estimations of evolutionary times in tlight'>he context of strong CpG hypermutability. Journal of Computational Biology, 19(5)():519-531, 2012.
[302]	Guergnon, J., light'>Dalmasso, C., Broet, P., Meyer, L., Westrop, S., Imami, N., Vicenzi, E., Morsica, G., Tinelli, M., Poma, B., Goujard, C., Potard, V., Gotch, F., Casoli, C., Cossarizza, A. & otlight'>hers, O. Single Nucleotide Polymorphism-defined Class-I and Class-III MHC genetic subregions contribute to natural long-term non progression in HIV infection. Journal of Infectious Diseases, 205(5):718-24, 2012.
[303]	light'>Heiser, L. & otlight'>hers, O. Subtype and pathway specific responses to anticancer compounds in breast cancer. Proceedings of tlight'>he National Academy of Sciences, 109(12):2724-2729, 2012.
[304]	Jacob, L., Neuvial, P. & Dudoit, S. More Power via Graph-Structured Tests for Differential Expression of Gene Networks. Annals of Applied Statistics, 6(2):561-600, 2012.
[305]	Latouclight'>he, P., Birmelé, E. & light'>Ambroise, C. Variational Bayesian Inference and Complexity Control for Stochastic Block Models. Statistical Modelling, 12(1):93-115, 2012.
[306]	light'>Le Floch, E., Guillemot, V., Lalanne, C., Frouin, V., Pinel, P., Trinclight'>hera, L., Tenenhaus, A., Moreno, A., Zilbovicius, M., Bourgeron, T., Dehaene, S., Thirion, B., Poline, J. & Duclight'>hesnay, E. Significant correlation between a set of genetic polymorphisms and a functional brain network revealed by feature selection and sparse Partial Least Squares. NeuroImage, 63(1):11-24, 2012.
[307]	Neuvial, P. & Roquain, E. On False Discovery Rate thresholding for classification under sparsity. Annals of Statistics, 40(5):2572-2600, 2012.
[308]	Norris, V., Menu-Bouaouiclight'>he, L., Bécu, J.M., Legendre, R., Norman, R. & Rosenzweig, J. Hyperstructure interactions influence tlight'>he virulence of tlight'>he type 3 secretion system in yersiniae and otlight'>her bacteria. Applied microbiology and biotechnology, 96(1):23-36, 2012.
[309]	Ortiz-Estevez, M., Aramburu, A., Bengtsson, H., Neuvial, P. & Rubio, A. CalMaTe: A Method and Software to Improve Allele-Specific Copy Number of SNP Arrays for Downstream Segmentation. Bioinformatics, 28(13):1793-1794, 2012.
[310]	Prum, B. Cha\>ines de Markov et absorption ; application à l'algorithme de Fu en génomique. J. Société Fran\,caise de Statistique, 152 n°2():37-51, 2012.
[311]	light'>crepey, S., light'>Grbac, Z. & Nguyen, H.N. A multiple-curve HJM model of interbank risk. Math. Financ. Econ., 6(3):155-190, 2012.
[312]	Adiga, C., light'>Bayad, A. & Shrikanth, A.S. A note on Mycielskian type of a graph. Adv. Stud. Contemp. Math. (Kyungshang), 22(1):85-91, 2012.
[313]	light'>Banica, V. & Miot, E. Global existence and collisions for symmetric configurations of nearly parallel vortex filaments. Ann. Inst. H. Poincaré Anal. Non Linéaire, 29(5):813-832, 2012.
[314]	light'>Banica, V. & Vega, L. Scattering for 1D cubic NLS and singular vortex dynamics. J. Eur. Math. Soc. (JEMS), 14(1):209-253, 2012.
[315]	light'>Bayad, A. & Cangul, I.N. Tlight'>he minimal polynomial of \(2\cos(\pi/q)\) and Dickson polynomials. Appl. Math. Comput., 218(13):7014-7022, 2012.
[316]	light'>Bayad, A. & Chikhi, J. Non linear recurrences for Apostol-Bernoulli-Euler numbers of higlight'>her order. Adv. Stud. Contemp. Math. (Kyungshang), 22(1):1-6, 2012.
[317]	light'>Bayad, A., Choi, J., Kim, T., Kim, Y.H. & Jang, L.C. \(q\)-extension of Bernstein polynomials with weight \((\alpha,\beta)\). J. Comput. Anal. Appl., 14(2):374-382, 2012.
[318]	light'>Bayad, A. & Hamahata, Y. Identities involving two kinds of \(q\)-Euler polynomials and numbers. J. Integer Seq., 15(4):Article 12.4.6, 14, 2012.
[319]	light'>Bayad, A. & Hamahata, Y. Multiple polylogarithms and multi-poly-Bernoulli polynomials. Funct. Approx. Comment. Math., 46(part 1):45-61, 2012.
[320]	light'>Bayad, A. & Hamahata, Y. Higlight'>her dimensional Dedekind sums in finite fields. Finite Fields Appl., 18(1):19-25, 2012.
[321]	light'>Bayad, A. & Kim, T. Higlight'>her recurrences for Apostol-Bernoulli-Euler numbers. Russ. J. Math. Phys., 19(1):1-10, 2012.
[322]	light'>Bayad, A. & Raouj, A. Mean values of \(L\)-functions and Dedekind sums. J. Number Tlight'>heory, 132(8):1645-1652, 2012.
[323]	light'>Bayad, A. & Raouj, A. Arithmetic of higlight'>her dimensional Dedekind-Rademaclight'>her sums. J. Number Tlight'>heory, 132(2):332-347, 2012.
[324]	Bensoussan, A., Jasso-Fuentes, H., Menozzi, S. & Mertz, L. Asymptotic analysis of stochastic variational inequalities modeling an elasto-plastic problem with vanishing jumps. Asymptot. Anal., 80(1-2):171-187, 2012.
[325]	light'>Bernard, J.M. Problem of second grade fluids in convex polylight'>hedrons. SIAM J. Math. Anal., 44(3):2018-2038, 2012.
[326]	light'>Bernard, J.M. Steady transport equation in tlight'>he case wlight'>here tlight'>he normal component of tlight'>he velocity does not vanish on tlight'>he boundary. SIAM J. Math. Anal., 44(2):993-1018, 2012.
[327]	Bielecki, T.R., Crépey, S., light'>Jeanblanc, M. & Zargari, B. Valuation and light'>hedging of CDS counterparty exposure in a Markov copula model. Int. J. Tlight'>heor. Appl. Finance, 15(1):1250004-39, 2012.
[328]	Callegaro, G., light'>Jeanblanc, M. & Runggaldier, W.J. Portfolio optimization in a defaultable market under incomplete information. Decis. Econ. Finance, 35(2):91-111, 2012.
[329]	Calvez, V., light'>Corrias, L. & Ebde, M.A. Blow-up, concentration plight'>henomenon and global existence for tlight'>he Keller-Segel model in high dimension. Comm. Partial Differential Equations, 37(4):561-584, 2012.
[330]	light'>Chamorro, D. Some functional inequalities on polynomial volume growth Lie groups. Canad. J. Math., 64(3):481-496, 2012.
[331]	light'>Chamorro, D. & light'>Lemarie-Rieusset, P.G. Quasi-geostrophic equations, nonlinear Bernstein inequalities and \(\alpha\)-stable processes. Rev. Mat. Iberoam., 28(4):1109-1122, 2012.
[332]	Chassagneux, J.F., Elie, R. & Kharroubi, I. Discrete-time approximation of multidimensional BSDEs with oblique reflections. Ann. Appl. Probab., 22(3):971-1007, 2012.
[333]	Coculescu, D., light'>Jeanblanc, M. & Nikeghbali, A. Default times, no-arbitrage conditions and changes of probability measures. Finance Stoch., 16(3):513-535, 2012.
[334]	Coculescu, D., light'>Jeanblanc, M. & Nikeghbali, A. Default times, non arbitrage conditions and change of probability measures. Finance and Stochastics, 16 (3):513-535, 2012.
[335]	Dobre, S., Bastogne, T., Profeta, C., Barberi-light'>Heyob, M. & Richard, A. Limits of variance-based sensitivity analysis for non-identifiability testing in high dimensional dynamic models. Automatica J. IFAC, 48(11):2740-2749, 2012.
[336]	Frikha, N. & Menozzi, S. Erratum: Concentration bounds for stochastic approximations [\refcno 2988393]. Electron. Commun. Probab., 17:no. 60, 2, 2012.
[337]	Frikha, N. & Menozzi, S. Concentration bounds for stochastic approximations. Electron. Commun. Probab., 17:no. 47, 15, 2012.
[338]	Frikha, N. & Sagna, A. Quantization based recursive importance sampling. Monte Carlo Methods Appl., 18(4):287-326, 2012.
[339]	light'>Hirsch, F. & Roynette, B. A new proof of Kellerer's tlight'>heorem. ESAIM Probab. Stat., 16:48-60, 2012.
[340]	light'>Hirsch, F. & Yor, M. On temporally completely monotone functions for Markov processes. Probab. Surv., 9:253-286, 2012.
[341]	light'>Jeanblanc, M., Mania, M., Santacroce, M. & Schweizer, M. Mean-variance light'>hedging via stochastic control and BSDEs for general semimartingales. Ann. Appl. Probab., 22(6):2388-2428, 2012.
[342]	Kim, T., Kim, D.S., light'>Bayad, A. & Rim, S.H. Identities on tlight'>he Bernoulli and tlight'>he Euler numbers and polynomials. Ars Combin., 107:455-463, 2012.
[343]	Krupa, M., Vidal, A., Desroclight'>hes, M. & Clément, F. Mixed-mode oscillations in a multiple time scale phantom bursting system. SIAM J. Appl. Dyn. Syst., 11(4):1458-1498, 2012.
[344]	light'>Lemarie-Rieusset, P.G. A remark on tlight'>he div-curl lemma. Studia Math., 210(1):77-92, 2012.
[345]	light'>Lemarie-Rieusset, P.G. Euler equations and real harmonic analysis. Arch. Ration. Mech. Anal., 204(2):355-386, 2012.
[346]	light'>Lemarie-Rieusset, P.G. Tlight'>he role of Morrey spaces in tlight'>he study of Navier-Stokes and Euler equations. Eurasian Math. J., 3(3):62-93, 2012.
[347]	light'>Lemarie-Rieusset, P.G. Good or not so good papers I have read or have not read,in All that math, Portraits of matlight'>hematicians as young readers.. Revista Mat. Ibero-amer., 2012.
[348]	light'>Lemarie-Rieusset, P.G. A remark on tlight'>he div-curl lemma.. Studia Matematica 210, 2012.
[349]	light'>Lemarie-Rieusset, P.G. & light'>Chamorro, D. Quasi-geostrophic equations, nonlinear Bernstein inequalities and ?-stable processes.. Revista Mat. Ibero-amer. 28, 2012.
[350]	Loclight'>herbach, E. & Loukianova, D. Deviation inequalities for centered additive functionals of recurrent Harris processes having general state space. J. Tlight'>heoret. Probab., 25(1):231-261, 2012.
[351]	Pages, G. & Sagna, A. Asymptotics of tlight'>he maximal radius of an \(L>r\)-optimal sequence of quantizers. Bernoulli, 18(1):360-389, 2012.
[352]	Pages, G. & Sagna, A. Asymptotics of tlight'>he maximal radius of an \(L>r\)-optimal sequence of quantizers. Bernoulli, 18(1):360-389, 2012.
[353]	Profeta, C. Penalizing null recurrent diffusions. Electron. J. Probab., 17:no. 69, 23, 2012.
[354]	Pycke, J.R. A probabilistic counterpart of tlight'>he Askey sclight'>heme for continuous polynomials. Adv. Pure Appl. Math., 3(1):85-111, 2012.
[355]	Simsek, Y., light'>Bayad, A. & Lokesha, V. \(q\)-Bernstein polynomials related to \(q\)-Frobenius-Euler polynomials, \(l\)-functions, and \(q\)-Stirling numbers. Math. Methods Appl. Sci., 35(8):877-884, 2012.
[356]	Vidal, A. & Francoise, J.P. Canard cycles in global dynamics. Internat. J. Bifur. Chaos Appl. Sci. Engrg., 22(2):1250026-13, 2012.
[357]	Bouaziz, M., light'>Jeanmougin, M. & light'>Guedj, M. Multiple-testing in large-scale genetic studies. , ():, Bonin A, Pompanon F eds, Methods in Molecular Biology Series, Humana Press., 2012.
[358]	light'>Banica, V. & Vega, L. Selfsimilar solutions of tlight'>he binormal flow and tlight'>heir stability. In Singularities in mechanics: formation, propagation and microscopic description, 38:1-35, Soc. Math. France, Paris, 2012.
[359]	Bogso, A.M., Profeta, C. & Roynette, B. Peacocks obtained by normalisation: strong and very strong peacocks. In Séminaire de Probabilités XLIV, 2046:317-374, Springer, light'>Heidelberg, 2012.
[360]	Bogso, A.M., Profeta, C. & Roynette, B. Some examples of peacocks in a Markovian set-up. In Séminaire de Probabilités XLIV, 2046:281-315, Springer, light'>Heidelberg, 2012.
[361]	Bogso, A.M., Profeta, C. & Roynette, B. On peacocks: a general introduction to two articles [comment on MR2953354, MR2953355]. In Séminaire de Probabilités XLIV, 2046:279-280, Springer, light'>Heidelberg, 2012.
[362]	Cousin, A. & light'>Jeanblanc, M. light'>Hedging portfolio loss derivatives with CDS's. In Stochastic processes, finance and control, 1:235-257, World Sci. Publ., Hackensack, NJ, 2012.
[363]	Birmelé, E., Crescenzi, P., Ferreira, R., Grossi, R., Lacroix, V., Marino, A., Pisanti, N., Sacomoto, G. & Sagot, M.F. Efficient bubble enumeration in directed graphs. In String Processing and Information Retrieval (SPIRE), 7608(7608):118-129, , 2012.
[364]	Birmelé, E., Ferreira, R., Grossi, R., Marino, A., Pisanti, N., Rizzi, R. & Sacomoto, G. Optimal Listing of Cycles and st-Paths in Undirected Graphs. In proceedings of 24th ACM/SIAM Symposium On Discrete Algorithms (SODA) 2013, ():1884, , 2012.
[365]	light'>Jeanmougin, M. Improving gene signatures by tlight'>he identification of differentially expressed modules in molecular networks : a local-score approach.. In JOBIM, ():103-111, , 2012., (light'>Ambroise, Christoplight'>he and Bouaziz, M. and light'>Guedj, M.).
[366]	light'>Le Floch, E., Pinel, P., Tenenhaus, A., Trinclight'>hera, L., Poline, J., Frouin, V. & Duclight'>hesnay, E. Discovering associations in high dimensional imaging-genetics data: a comparison study of dimension reduction and regularisation strategies combined with Partial Least Squares. In 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI 2012), ():1503-1506, , 2012.
[367]	Zhang, J. Les équations aux dérivées partielles stochastiques avec obstacle. , 2012.
[368]	Zhang, J. Les équations aux dérivées partielles stochastiques avec obstacle. , 2012.
[369]	light'>Brunel, N., light'>Clairon, Q. & d'Alché Buc, F. Parametric Estimation of Ordinary Differential Equations with Orthogonality Conditions. , 2012.
[370]	Grandvalet, Y., light'>Chiquet, J. & light'>Ambroise, C. Sparsity by Worst-Case Quadratic Penalties. , 2012.
[371]	light'>Kwemou, M. Non-asymptotic Oracle Inequalities for tlight'>he Lasso and Group Lasso in high dimensional logistic model. , 2012.
[372]	light'>chamorro, D. Non-local diffusion equations with Lévy-type operators and divergence free drift. , 2012.
[373]	light'>crepey, S. Bilateral Counterparty Risk under Funding Constraints Part II: CVA. , 2012.
[374]	light'>crepey, S. Bilateral Counterparty Risk under Funding Constraints Part I: Pricing. , 2012.
[375]	song, S. Drift operator in a market affected by tlight'>he expansion of information flow : a case study. , 2012.
[376]	light'>crepey, S. & Douady, R. Tlight'>he Whys of tlight'>he LOIS: Credit Risk and Refinancing Rate Volatility. , 2012.
[377]	light'>crepey, S.G. Counterparty Risk on Interest Rate Derivatives in a Multiple Curve Setup. , 2012.
[378]	light'>Banica, V., gonzalez, M. & Saez, M. Some constructions for tlight'>he fractional Laplacian on noncompact manifolds. , 2012.
[379]	light'>Clight'>hevalier, E. & Ngoupeyou, A. American put option on a defaultable asset and option based portfolio insurance. , 2012.
[380]	light'>Grbac, Z., Eberlein, E. & Schmidt, T. CDO market models driven by time-inhomogeneous Lévy processes. , 2012.
[381]	light'>Grbac, Z. & Papapantoleon, A. A tractable LIBOR model with default risk.. , 2012.
[382]	Lim, T. & harr, . A decomposition approach for tlight'>he discrete-time approximation of FBSDEs with a jump I : tlight'>he Lipschitz case. , 2012.
[383]	Lim, T. & Kharroubi, I. A decomposition approach for tlight'>he discrete-time approximation of BSDEs with a jump II: tlight'>he quadratic case. , 2012.
[384]	Lim, T., y, , Sahut, J.M. & Slight'>cotti, S. Bid-ask spread modelling, a perturbation approach. , 2012.
[385]	Profeta, C. & Sagna, A. Conditional hitting time estimation in a nonlinear filtering model by tlight'>he Brownian bridge method. , 2012.
[386]	Pycke, J.R. On tlight'>he range of linear and circular kurtosis. , 2012.
[387]	Pierre-Jean, M. Segmentation de données génomiques en cancérologie. , 2012., (Journée annuelle du groupe Biopharmacie et Santé de la SFDS).
2011
[388]	light'>Devauclight'>helle, C. De l'art de résumer pour tenter de comprendre en génomique évolutive. , 2011.
[389]	Bouaziz, M., light'>Ambroise, C. & light'>Guedj, M. Accounting for Population Stratification in Practice: a Comparison of tlight'>he Main Strategies Dedicated to Genome-Wide Association Studies. PLOS one, 6(12):, 2011.
[390]	Broet, P., light'>Dalmasso, C., Tan, E., Alilight'>fano, M., Zhang, S., Wu, J., Lee, M., Regnard, J., Lim, W., Koong, H., Agasthian, T., Miller, L., Camilleri-Broet, S. & Tan, P. Genomic Profiles Specific to Patient Ethnicity in Lung Adenocarcinoma. Clinical Cancer Research, 17(11):3542-50, 2011.
[391]	light'>Chiquet, J., Grandvalet, Y. & light'>Ambroise, C. Inferring Multiple Graphical Structures. Statistics and Computing, 21(4):537-553, 2011.
[392]	Coustet, B., Dieudé, P., light'>Guedj, M., Bouaziz, M., Avouac, J. & Et, A. C8orf13-BLK is a genetic risk locus for systemic sclerosis and has additive effects with BANK1: results from a large french cohort and meta-analysis.. Arthritis Rlight'>heum, 63(7):2091-2096, 2011.
[393]	light'>Dalmasso, C. & Broët, P. Detection of chromosomal abnormalities using high resolution arrays in clinical cancer research. Journal of Biomedical Informatics, (doi:10.1016/j.jbi.2011.06.003):, 2011.
[394]	Dieudé, P., Bouaziz, M., light'>Guedj, M., Riemekasten, G., Airo, P. & Al, E. Evidence of tlight'>he contribution of tlight'>he X chromosome to systemic sclerosis susceptibility: association with tlight'>he functional IRAK1 196Plight'>he/532Ser haplotype.. Arthritis Rlight'>heum, 63(12):3979-3987, 2011.
[395]	light'>Jeanmougin, M., light'>Guedj, M. & light'>Ambroise, C. Defining a robust biological prior from Pathway Analysis to drive Network Inference.. J-SFdS, 152(2):, 2011.
[396]	Latouclight'>he, P., Birmelé, E. & light'>Ambroise, C. Overlapping Stochastic Block Models with Application to tlight'>he French Political Blogosplight'>here. Annals of Applied Statistics, 5(1):309-336, 2011.
[397]	Olslight'>hen, A., Bengtsson, H., Neuvial, P., Spellman, P., Olslight'>hen, R. & Seshan, V. Parent-specific copy number in paired tumor-normal studies using circular binary segmentation. Bioinformatics, 27(15):2038-2046, 2011.
[398]	Ruggiero, D., light'>Dalmasso, C., Nutile, T., Sorice, R., Dionisi, L., Aversano, M., Broët, P., Leutenegger, A., Bourgain, C. & Ciullo, M. Genetics of VEGF Serum Variation in Human Isolated Populations of Cilento: Importance of VEGF Polymorphisms.. PLoS One, 6(2):e16982, 2011.
[399]	Soon, W., Miller, L., Black, M., light'>Dalmasso, C., Chan, X., Pang, B., Ong, C., Salto-Tellez, M., Desai, K. & Liu, E. Combined genomic and plight'>henotype screening reveals secretory factor SPINK1 as an invasion and survival factor associated with patient prognosis in breast cancer. EMBO Molecular Medicine, x(x):, 2011.
[400]	Tisserand, M., Le Guennec, L., Touzé, E., light'>Hess, A., Charbonnier, C., light'>Devauclight'>helles, A.D., Bracard, S., Mas, J.L., Méder, J.F. & Oppenlight'>heim, C. Prevalence of MRI-defined recent silent isclight'>hemia and associated bleeding risk with thrombolysis. Neurology, 76(15):1288-1295, 2011.
[401]	light'>Banica, V., Carles, R. & Duyckaerts, T. Minimal blow-up solutions to tlight'>he mass-critical inhomogeneous NLS equation. Comm. Partial Differential Equations, 36(3):487-531, 2011.
[402]	light'>Banica, V. & Ignat, L.I. Dispersion for tlight'>he Schrödinger equation on networks. J. Math. Phys., 52(8):083703-14, 2011.
[403]	light'>Bayad, A. Fourier expansions for Apostol-Bernoulli, Apostol-Euler and Apostol-Genocchi polynomials. Math. Comp., 80(276):2219-2221, 2011.
[404]	light'>Bayad, A. Special values of Lerch zeta function and tlight'>heir Fourier expansions. Adv. Stud. Contemp. Math. (Kyungshang), 21(1):1-4, 2011.
[405]	light'>Bayad, A. & Hamahata, Y. Polylogarithms and poly-Bernoulli polynomials. Kyushu J. Math., 65(1):15-24, 2011.
[406]	light'>Bayad, A. & Hamahata, Y. Arakawa-Kaneko \(L\)-functions and generalized poly-Bernoulli polynomials. J. Number Tlight'>heory, 131(6):1020-1036, 2011.
[407]	light'>Bayad, A. & Kim, T. Identities involving values of Bernstein, \(q\)-Bernoulli, and \(q\)-Euler polynomials. Russ. J. Math. Phys., 18(2):133-143, 2011.
[408]	light'>Bayad, A., Kim, T., Choi, J., Kim, Y.H. & Lee, B. On tlight'>he symmetry properties of tlight'>he generalized higlight'>her-order Euler polynomials. J. Appl. Math. Inform., 29(1-2):511-516, 2011.
[409]	light'>Bayad, A., Kim, T., Lee, B. & Rim, S.H. Some identities on Bernstein polynomials associated with \(q\)-Euler polynomials. Abstr. Appl. Anal., pages Art. ID 294715, 10, 2011.
[410]	light'>Bayad, A., Kim, T., Lee, S.H. & Dolgy, D.V. A note on tlight'>he generalized Bernstein polynomials. Honam Math. J., 33(3):431-439, 2011.
[411]	light'>Bayad, A. & Raouj, A. Reciprocity formulae for multiple Dedekind-Rademaclight'>her sums. C. R. Math. Acad. Sci. Paris, 349(3-4):131-136, 2011.
[412]	light'>Bayad, A. & Simsek, Y. Dedekind sums involving Jacobi modular forms and special values of Barnes zeta functions. Ann. Inst. Fourier (Grenoble), 61(5):1977-1993 (2012), 2011.
[413]	light'>Bernard, J.M.E. Density results in Sobolev spaces whose elements vanish on a part of tlight'>he boundary. Chin. Ann. Math. Ser. B, 32(6):823-846, 2011.
[414]	Bielecki, T.R., light'>Jeanblanc, M. & Rutkowski, M. light'>Hedging of a credit default swaption in tlight'>he CIR default intensity model. Finance Stoch., 15(3):541-572, 2011.
[415]	Biler, P., light'>Corrias, L. & Dolbeault, J. Large mass self-similar solutions of tlight'>he parabolic-parabolic Keller-Segel model of clight'>hemotaxis. J. Math. Biol., 63(1):1-32, 2011.
[416]	light'>Chamorro, D. Improved Sobolev inequalities and Muckenhoupt weights on stratified Lie groups. J. Math. Anal. Appl., 377(2):695-709, 2011.
[417]	Chassagneux, J.F., Elie, R. & Kharroubi, I. A note on existence and uniqueness for solutions of multidimensional reflected BSDEs. Electron. Commun. Probab., 16:120-128, 2011.
[418]	Clément, E. & light'>Gloter, A. Limit tlight'>heorems in tlight'>he Fourier transform method for tlight'>he estimation of multivariate volatility. Stochastic Process. Appl., 121(5):1097-1124, 2011.
[419]	light'>Hirsch, F., Roynette, B. & Yor, M. From an It\>o type calculus for Gaussian processes to integrals of log-normal processes increasing in tlight'>he convex order. J. Math. Soc. Japan, 63(3):887-917, 2011.
[420]	light'>Jeanblanc, M. & Song, S. An explicit model of default time with given survival probability. Stochastic Process. Appl., 121(8):1678-1704, 2011.
[421]	light'>Jeanblanc, M. & Song, S. Random times with given survival probability and tlight'>heir \(\Bbb F\)-martingale decomposition formula. Stochastic Process. Appl., 121(6):1389-1410, 2011.
[422]	Kim, T., light'>Bayad, A. & Kim, Y.H. A study on tlight'>he \(p\)-adic \(q\)-integral representation on \(\Bbb Z_p\) associated with tlight'>he weighted \(q\)-Bernstein and \(q\)-Bernoulli polynomials. J. Inequal. Appl., pages Art. ID 513821, 8, 2011.
[423]	light'>Lemarie-Rieusset, P.G. Une remarque sur la valeur absolue dans certains espaces de Sobolev ou de Besov. C. R. Math. Acad. Sci. Paris, 349(11-12):629-632, 2011.
[424]	light'>Lemarie-Rieusset, P.G. & Lelievre, F. Suitable solutions for tlight'>he Navier-Stokes problem with an homogeneous initial value. Comm. Math. Phys., 307(1):133-156, 2011.
[425]	Lim, T. & Quenez, M.C. Exponential utility maximization in an incomplete market with defaults. Electron. J. Probab., 16:no. 53, 1434-1464, 2011.
[426]	Loclight'>herbach, E., Loukianova, D. & Loukianov, O. Polynomial bounds in tlight'>he ergodic tlight'>heorem for one-dimensional diffusions and integrability of hitting times. Ann. Inst. light'>Henri Poincaré Probab. Stat., 47(2):425-449, 2011.
[427]	Loclight'>herbach, E., Loukianova, D. & Loukianov, O. Penalized nonparametric drift estimation for a continuously observed one-dimensional diffusion process. ESAIM Probab. Stat., 15:197-216, 2011.
[428]	Loclight'>herbach, E., Loukianova, D. & Loukianov, O. Penalized nonparametric drift estimation for a continuously observed one-dimensional diffusion process. ESAIM Probab. Stat., 15:197-216, 2011.
[429]	Loclight'>herbach, E., Loukianova, D. & Loukianov, O. Polynomial bounds in tlight'>he ergodic tlight'>heorem for one-dimensional diffusions and integrability of hitting times. Ann. Inst. light'>Henri Poincaré Probab. Stat., 47(2):425-449, 2011.
[430]	Loukianov, O., Loukianova, D. & Song, S. Spectral gaps and exponential integrability of hitting times for linear diffusions. Ann. Inst. light'>Henri Poincaré Probab. Stat., 47(3):679-698, 2011.
[431]	Peccati, G. & Pycke, J.R. Hoeffding spaces and Specht modules. ESAIM Probab. Stat., 15(In honor of Marc Yor, suppl.):S58-S68, 2011.
[432]	Rim, S.H., light'>Bayad, A., Moon, E.J., Jin, J.H. & Lee, S.J. A new construction on tlight'>he \(q\)-Bernoulli polynomials. Adv. Difference Equ., pages 2011:34, 6, 2011.
[433]	Sagna, A. Pricing of barrier options by marginal functional quantization. Monte Carlo Methods Appl., 17(4):371-398, 2011.
[434]	Cousin, A., Crépey, S., Guéant, O., Hobson, D., light'>Jeanblanc, M., Lasry, J.M., Laurent, J.P., Lions, P.L. & Tankov, P. Paris-Princeton Lectures on Matlight'>hematical Finance 2010. , 2003:x+359, Springer-Verlag, Berlin, 2011., (Edited by Rene A. Carmona, Erhan Cinlar, Ivar Ekeland, Elyès Jouini, Jose A. Sclight'>heinkman and Nizar Touzi).
[435]	light'>Hirsch, F., Profeta, C., Roynette, B. & Yor, M. Peacocks and associated martingales, with explicit constructions. , 3:xxxii+384, Springer, Milan; Bocconi University Press, Milan, 2011.
[436]	Neuvial, P., Bengtsson, H. & Speed, T. Handbook of Statistical Bioinformatics. , ():225-255, Springer, 2011.
[437]	light'>crepey, S. About tlight'>he pricing equations in finance. In Paris-Princeton Lectures on Matlight'>hematical Finance 2010, 2003:63-203, Springer, Berlin, 2011.
[438]	Bielecki, T.R., Crépey, S., light'>Jeanblanc, M. & Rutkowski, M. Convertible bonds in a defaultable diffusion model. In Stochastic analysis with financial applications, 65:255-298, Birkhäuser/Springer Basel AG, Basel, 2011.
[439]	Cousin, A., light'>Jeanblanc, M. & Laurent, J.P. light'>Hedging CDO tranclight'>hes in a Markovian environment. In Paris-Princeton Lectures on Matlight'>hematical Finance 2010, 2003:1-61, Springer, Berlin, 2011.
[440]	light'>Hirsch, F., Profeta, C., Roynette, B. & Yor, M. Constructing self-similar martingales via two Skorokhod embeddings. In Séminaire de Probabilités XLIII, 2006:451-503, Springer, Berlin, 2011.
[441]	Meira Castro, A.C., Matos, J. & Gavina, A. Numerical solution of a PDE system with non-linear steady state conditions that translates tlight'>he air stripping pollutants removal. In Nonlinear science and complexity, pages 211-219, Springer, Dordrecht, 2011.
[442]	light'>Chiquet, J., Grandvalet, Y. & Charbonnier, C. Sparsity with sign-colight'>herent groups of variables via tlight'>he cooperative-Lasso. In Proceedings of SPARS'11, Edimburgh, ():, , 2011.
[443]	light'>Chiquet, J. Réseaux biologiques. , 2011., (La gazette des mathématiciens No. 130 pp. 76--82).
[444]	Neuvial, P. Tests multiples en génomique. , 2011., (La gazette des mathématiciens No. 130 pp. 71-76).
[445]	Zargari, B. Le risque de crédit et les produits dérivés de crédit : modélisation mathématique et numérique. , 2011.
[446]	Zargari, B. Le risque de crédit et les produits dérivés de crédit : modélisation mathématique et numérique. , 2011.
[447]	light'>crepey, S. A BSDE Approach to Counterparty Risk under Funding Constraints. , 2011.
[448]	song, S. Drift operator in a market affected by tlight'>he expansion of information flow : a case study. , 2011.
[449]	light'>crepey, S. & douady, R. Tlight'>he Whys of tlight'>he LOIS: Credit Risk and Refinancing Rate Volatility. , 2011.
[450]	light'>crepey, S. & Chassagneux, J.F. Doubly Reflected BSDEs with Call Protection and tlight'>heir Approximation. , 2011.
[451]	light'>crepey, S., light'>Grbac, Z. & H.N., N. A defaultable HJM multiple-curve term structure model. , 2011.
[452]	light'>Jeanmougin, M. Network inference using pathway analysis results as a prior information.. , 2011., (SMPGD'11).
2010
[453]	Latouclight'>he, P. Modèles de graplight'>hes aléatoires à structure cachée pour l'analyse des réseaux. , 2010.
[454]	Ahmed, I., light'>Dalmasso, C., Haramburu, F., Thiessard, F., Broët, P. & Tubert-Bitter, P. False discovery rate estimation for frequentist pharmacovigilance signal detection methods.. Biometrics, 66(1):301-309, 2010.
[455]	Bengtsson, H., Neuvial, P. & Speed, T. TumorBoost: Normalization of allele-specific tumor copy numbers from a single pair of tumor-normal genotyping microarrays. BMC bioinformatics, 11(1):245, 2010.
[456]	light'>Brunel, N., Lapuyade, J. & Pieczynski, W. Modeling and unsupervised classification of multivariate hidden Markov chains with copulas. IEEE Transactions on Automatic Control, 55(2):338-349, 2010.
[457]	Charbonnier, C., light'>Chiquet, J. & light'>Ambroise, C. Weighted-Lasso for Structured Network Inference from Time Course Data. Statistical Applications in Genetics and Molecular Biology, 9(1):, 2010.
[458]	Corel, E., Pitschi, F., Laprevotte, I., Grasseau, G., Didier, G. & light'>Devauclight'>helle, C. MS4 - Multi-Scale Selector of Sequence Signatures: An alignment-free method for classification of biological sequences. BMC Bioinformatics, 11(406):, 2010., (doi:10.1186/1471-2105-11-406).
[459]	Idbaih, A., light'>Dalmasso, C., Kouwenhoven, M., Jeuken, J., Carpentier, C., Gorlia, T., Kros, J., French, P., Teepen, J., Broët, P., Delattre, O., Mokhtari, K., Sanson, M., Delattre, J., Van den Bent, M. & oang-, . Genomic aberrations associated with outcome in anaplastic oligodendroglial tumors treated within tlight'>he EORTC phase III trial 26951.. J Neurooncol, [Epub alight'>head of print]():, 2010.
[460]	light'>Jeanmougin, M., de Reynies, A., Marisa, L., Paccard, C., Nuel, G. & light'>Guedj, M. Should We Abandon tlight'>he t-Test in tlight'>he Analysis of Gene Expression Microarray Data: A Comparison of Variance Modeling Strategies. PLoS ONE, 5(9):e12336, 2010.
[461]	Noushmehr, H. & Otlight'>hers, O. Identification of a CpG Island Methylator Plight'>henotype that Defines a Distinct Subgroup of Glioma. Cancer cell, 17(5):510-522, 2010.
[462]	Pitschi, F., light'>Devauclight'>helle, C. & Corel, E. Automatic detection of anchor points for multiple sequence alignment. BMC Bioinformatics, 11(445):, 2010.
[463]	Taupin, M.L. Comment on : Identification and estimation of nonlinear models using two samples with nonclassical measurement errors. Journal of nonparametric statistics, 22():409-414, 2010.
[464]	Zanghi, H., Picard, F., Miele, V. & light'>Ambroise, C. Strategies for Online Inference of Network Mixture. Annals of Applied Statistics, 4(2):687-714, 2010.
[465]	Zanghi, H., Volant, S. & light'>Ambroise, C. Clustering based on random graph model embedding vertex features. Pattern Recognition Letters, 31(9):830-836, 2010.
[466]	Bacry, E., light'>Gloter, A., Hoffmann, M. & Muzy, J.F. Multifractal analysis in a mixed asymptotic framework. Ann. Appl. Probab., 20(5):1729-1760, 2010.
[467]	light'>Bayad, A. Arithmetical properties of elliptic Bernoulli and Euler numbers. Int. J. Algebra, 4(5-8):353-372, 2010.
[468]	light'>Bayad, A. Modular properties of elliptic Bernoulli and Euler functions. Adv. Stud. Contemp. Math. (Kyungshang), 20(3):389-401, 2010.
[469]	light'>Bayad, A. & Kim, T. Identities for tlight'>he Bernoulli, tlight'>he Euler and tlight'>he Genocchi numbers and polynomials. Adv. Stud. Contemp. Math. (Kyungshang), 20(2):247-253, 2010.
[470]	light'>Bayad, A. & Raouj, A. Reciprocity formulae for general multiple Dedekind-Rademaclight'>her sums and enumeration of lattice points. Acta Arith., 145(2):137-154, 2010.
[471]	Bielecki, T.R., Crépey, S. & light'>Jeanblanc, M. Up and down credit risk. Quant. Finance, 10(10):1137-1151, 2010.
[472]	Carmona, R. & light'>Crepey, S. Particle methods for tlight'>he estimation of credit portfolio loss distributions. Int. J. Tlight'>heor. Appl. Finance, 13(4):577-602, 2010.
[473]	El Karoui, N., light'>Jeanblanc, M. & Jiao, Y. What happens after a default: tlight'>he conditional density approach. Stochastic Process. Appl., 120(7):1011-1032, 2010.
[474]	Ganesh, A., Balasubramanian, G. & light'>Bayad, A. On tlight'>he \(\vert \overline N,p_n\vert _k\) summability of factored Fourier series. Int. Math. Forum, 5(21-24):1067-1073, 2010.
[475]	Gapeev, P.V. & light'>Jeanblanc, M. Pricing and filtering in a two-dimensional dividend switching model. Int. J. Tlight'>heor. Appl. Finance, 13(7):1001-1017, 2010.
[476]	light'>Gloter, A. & Hoffmann, M. Nonparametric reconstruction of a multifractal function from noisy data. Probab. Tlight'>heory Related Fields, 146(1-2):155-187, 2010.
[477]	light'>Hirsch, F., Roynette, B. & Yor, M. Unifying constructions of martingales associated with processes increasing in tlight'>he convex order, via Lévy and Sato slight'>heets. Expo. Math., 28(4):299-324, 2010.
[478]	light'>Hirsch, F., Roynette, B. & Yor, M. Applying It\>o's motto: ``look at tlight'>he infinite dimensional picture'' by constructing slight'>heets to obtain processes increasing in tlight'>he convex order. Period. Math. Hungar., 61(1-2):195-211, 2010.
[479]	light'>Hirsch, F. & Yor, M. Looking for martingales associated to a self-decomposable law. Electron. J. Probab., 15:no. 29, 932-961, 2010.
[480]	Lokesha, V., Kumar B, N., Nagaraja, K.M., light'>Bayad, A. & Saraj, M. New means and its properties. Proc. Jangjeon Math. Soc., 13(2):243-254, 2010.
[481]	Profeta, C. Penalization of a positively recurrent diffusion by an exponential function of its local time. Publ. Res. Inst. Math. Sci., 46(3):681-718, 2010.
[482]	Pycke, J.R. Some tests for uniformity of circular distributions powerful against multimodal alternatives. Canad. J. Statist., 38(1):80-96, 2010.
[483]	, (eds). La démarclight'>he statistique. , (), Cépaduès, 2010.
[484]	Profeta, C., Roynette, B. & Yor, M. Option prices as probabilities. , pages xxii+270Springer-Verlag, Berlin, 2010., (A new look at generalized Black-Scholes formulae).
[485]	light'>Brunel, N. & d'Alché Buc, F. Flow-Based Bayesian Estimation of Nonlinear Differential Equations for Modeling Biological Networks. In Pattern Recognition in Bioinformatics, 6282(), Springer Berlin / light'>Heidelberg, 2010.
[486]	Gapeev, P.V., light'>Jeanblanc, M., Li, L. & Rutkowski, M. Constructing random times with given survival processes and applications to valuation of credit derivatives. In Contemporary quantitative finance, pages 255-280, Springer, Berlin, 2010.
[487]	Charbonnier, C., light'>Chiquet, J. & light'>Ambroise, C. Weighted-Lasso for Structured Network Inference for Time-Course data. In JOBIM'10, Montpellier, 2010.
[488]	light'>Chiquet, J., Grandvalet, Y. & light'>Ambroise, C. Inferring Multiple Graphical Structures. In Workshop MODGRAPHII, JOBIM'10, Montpellier, 2010.
[489]	Grandvalet, Y., light'>Chiquet, J. & light'>Ambroise, C. Inferring Multiple Regulation Networks. In Proceedings of tlight'>he MLCB NIPS'10 Workshop, Vancouver, 2010.
[490]	Grandvalet, Y., light'>Chiquet, J. & light'>Ambroise, C. Inférence jointe de la structure de modèles graphiques gaussiens. In actes de CAp'10, Clermont-Ferrand, 2010.
[491]	Milreu, P., Acuna, V., Birmelé, E., Crescenzi, P., Marclight'>hetti-Spaccamela, A., Sagot, M.F., Stougie, L. & Lacroix, V. Enumerating clight'>hemical organisations in consistent metabolic networks: Complexity and algorithms. In Algorithms in Bioinformatics, WABI 2010, 6293, Springer, 2010.
[492]	Gapeev, P., light'>Jeanblanc, M., Li, L. & Rutkowski, M. Constructing random times with given survival process and applications to valuation of credit derivatives. In Contemporary Quantitative Finance, Springer-Verlag, 2010.
[493]	Lelièvre, F. Approximation des équations de Navier\–Stokes préservant le changement d\’éclight'>helle. , 2010.
[494]	Ngoupeyou, A. Optimisation des portefeuilles d\’actifs soumis au risque de défaut. , 2010.
[495]	Lelièvre, F. Approximation des équations de Navier-Stokes préservant le changement d'éclight'>helle. , 2010.
[496]	Ngoupeyou, A. Optimisation des portefeuilles d'actifs soumis au risque de défaut. , 2010.
[497]	light'>crepey, S. & Chassagneux, J.F. Doubly Reflected BSDEs with Call Protection and tlight'>heir Approximation. , 2010.
[498]	light'>crepey, S., Cousin, A. & Kan, Y. Delta-light'>hedging Correlation Risk. , 2010.
[499]	Crépey, S., light'>Jeanblanc, M. & Zargari, B. Counterparty Risk on a CDS in a Model with Joint Defaults and Stochastic Spreads. , 2010.
[500]	light'>Jeanblanc, M., Lacoste, V. & Roland, S. Portfolio Optimization Under a Partially Observed Jump-Diffusion Model. , 2010.
[501]	light'>Jeanblanc, M., Matoussi, A. & Ngoupeyou, A. Robust utility maximization in a discontinuous filtration. , 2010.
[502]	light'>Jeanblanc, M. & Yu, Z. Optimal Investment Problems with Uncertain Time Horizon. , 2010.
2009
[503]	light'>Ambroise, C., light'>Chiquet, J. & Matias, C. Inferring sparse Gaussian graphical models with latent structure. Electronic Journal of Statistics, 3():205-238, 2009.
[504]	light'>Chiquet, J., Limnios, N. & Eid, M. Piecewise deterministic Markov processes applied to fatigue crack growth modelling. Journal of Statistical Planning and Inference, 139(5):1657-1667, 2009.
[505]	light'>Chiquet, J., Smith, A., Grasseau, G., Matias, C. & light'>Ambroise, C. SIMoNe: Statistical Inference for MOdular NEtworks. Bioinformatics, 25(3):417-418, 2009.
[506]	Durot, C., Lebarbier, E. & Tocquet, A.S. Estimating tlight'>he joint distribution of independent categorical variables via model selection. Bernoulli, 15(2):475-507, 2009.
[507]	light'>Guedj, M., Célisse, A., Robin, S. & Nuel, G. kerfdr: A semi-parametric kernel-based approach to local FDR estimations.. BMC Bioinformatics, 10():84+, 2009.
[508]	Marenne, G., light'>Dalmasso, C., Perdry, H., Génin, E. & Broët, P. Impaired performance of FDR-based strategies in whole-genome association studies wlight'>hen SNPs are excluded prior to tlight'>he analysis.. Genet Epidemiol, 33(1):45-53, 2009.
[509]	Martin-Magniette, M.L. & Taupin, M.L. Semi-parametric estimation of tlight'>he hazard function in a model with covariate measurement error.. ESAIM: Proba. and Stat., 13():87-114, 2009.
[510]	Oudot, T., Lesueur, F., light'>Guedj, M., de Cid, R., McGinn, S., light'>Heath, S., Foglio, M., Prum, B., Lathrop, M., Prud'homme, J. & Fisclight'>her, J. An association study of 22 candidate genes in psoriasis families reveals shared genetic factors with otlight'>her autoimmune and skin disorders. J Invest Dermatol., 129(11):2637-45, 2009.
[511]	Picard, F., Miele, V., Daudin, J.J., light'>Cottret, L. & Robin, S. Deciplight'>hering tlight'>he connectivity structure of biological networks using MixNet. BMC Bioinformatics, 10(Suppl 6):S17, 2009.
[512]	Tian, Z., Rizzon, C., Du, J., Zhu, L., Bennetzen, J., Gaut, B., Jackson, S. & Ma, J. Do genetic recombination and gene density shape tlight'>he pattern of DNA elimination in rice LTR-retrotransposons?. Genome Res., 19(12):2221-30, 2009.
[513]	light'>Banica, V., Carles, R. & Duyckaerts, T. On scattering for NLS: from Euclidean to hyperbolic space. Discrete Contin. Dyn. Syst., 24(4):1113-1127, 2009.
[514]	light'>Banica, V. & Vega, L. On tlight'>he stability of a singular vortex dynamics. Comm. Math. Phys., 286(2):593-627, 2009.
[515]	Bielecki, T.R., Crépey, S., light'>Jeanblanc, M. & Rutkowski, M. Defaultable game options in a hazard process model. J. Appl. Math. Stoch. Anal., pages Art. ID 695798, 33, 2009.
[516]	Clément, F. & Vidal, A. Foliation-based parameter tuning in a model of tlight'>he GnRH pulse and surge generator. SIAM J. Appl. Dyn. Syst., 8(4):1591-1631, 2009.
[517]	Gapeev, P.V. & light'>Jeanblanc, M. Pricing of contingent claims in a two-dimensional model with random dividends. Int. J. Tlight'>heor. Appl. Finance, 12(8):1091-1104, 2009.
[518]	light'>Gloter, A. & S\orensen, M. Estimation for stochastic differential equations with a small diffusion coefficient. Stochastic Process. Appl., 119(3):679-699, 2009.
[519]	light'>Hirsch, F. & Yor, M. A construction of processes with one-dimensional martingale marginals, associated with a Lévy process, via its Lévy slight'>heet. J. Math. Kyoto Univ., 49(4):785-815, 2009.
[520]	light'>Hirsch, F. & Yor, M. A construction of processes with one dimensional martingale marginals, based upon path-space Ornstein-Uhlenbeck processes and tlight'>he Brownian slight'>heet. J. Math. Kyoto Univ., 49(2):389-417, 2009.
[521]	light'>Jeanblanc, M. & Le Cam, Y. Progressive enlargement of filtrations with initial times. Stochastic Process. Appl., 119(8):2523-2543, 2009.
[522]	light'>Jeanblanc, M. & Le Cam, Y. Immersion property and credit risk modelling. Modern Trends in Matlight'>hematical Finance: Tlight'>he Kabanov Festschrift, 119:99-131, 2009.
[523]	light'>Jeanblanc, M. & Le Cam, Y. Progressive enlargement of filtration with initial times. Stochastic Processes and tlight'>heir Applic., 119:2523-2543, 2009.
[524]	light'>Lemarie-Rieusset, P.G. & Prioux, N. Tlight'>he Navier-Stokes equations with data in \(\rm bmo>-1\). Nonlinear Anal., 70(1):280-297, 2009.
[525]	Loclight'>herbach, E. & Loukianova, D. Tlight'>he law of iterated logarithm for additive functionals and martingale additive functionals of Harris recurrent Markov processes. Stochastic Process. Appl., 119(7):2312-2335, 2009.
[526]	Peccati, G. & Pycke, J.R. Decompositions of stochastic processes based on irreducible group representations. Teor. Veroyatn. Primen., 54(2):304-336, 2009.
[527]	Sagna, A. Universal \(L>s\)-rate-optimality of \(L>r\)-optimal quantizers by dilatation and contraction. ESAIM Probab. Stat., 13:218-246, 2009.
[528]	Vidal, A., Médigue, C., Malpaux, B. & Clément, F. Endogenous circannual rhythm in luteinizing hormone secretion: insight from signal analysis coupled with matlight'>hematical modelling. Philos. Trans. R. Soc. Lond. Ser. A Math. Phys. Eng. Sci., 367(1908):4759-4777, 2009.
[529]	light'>Jeanblanc, M., Yor, M. & Clight'>hesney, M. Matlight'>hematical methods for financial markets. , pages xxvi+732Springer-Verlag London, Ltd., London, 2009.
[530]	light'>Ambroise, C. & Dang, M. Data Analysis. , ():289-318, Wiley, 2009.
[531]	Latouclight'>he, P., Birmelé, E. & light'>Ambroise, C. Advances in Data Analysis, Data Handling and Business Intelligence. , ():229-239, springer, 2009.
[532]	light'>Banica, V. Sur la stabilité d'une dynamique singulière de vortex. In Séminaire: Équations aux Dérivées Partielles. 2007--2008, pages Exp. No. III, 13, école Polytech., Palaiseau, 2009.
[533]	light'>Jeanblanc, M. & Le Cam, Y. Immersion property and credit risk modelling. In Optimality and risk---modern trends in matlight'>hematical finance, pages 99-131, Springer, Berlin, 2009.
[534]	light'>Chiquet, J., Charbonnier, C. & light'>Ambroise, C. SIMoNe : Statistical Inference of Modular Network. In Workshop MODGRAPH, JOBIM'09, Nantes, 2009.
[535]	Latouclight'>he, P., Birmelé, E. & light'>Ambroise, C. Uncovering overlapping clusters in biological networks. In Journées ouvertes en biologie, informatique et mathématiques (Jobim). Nantes, 2009.
[536]	Neuvial, P. & Bourguignon, P.Y. Problématiques statistiques à l'light'>heure de la post-génomique. , 2009.
[537]	loukianova, D. & Loukianov, O. Poincaré inequality and exponential integrability of hitting times for a linear diffusion. , 2009.
[538]	light'>crepey, S. & armo, . Importance Sampling and Interacting Particle Systems for tlight'>he Estimation of Markovian Credit Portfolios Loss Distribution. , 2009.
[539]	Crépey, S., light'>Herbertsson, A. & Bielecki, T. Markov Chain Models of Portfolio Credit Risk. , 2009.
[540]	Crépey, S., light'>Jeanblanc, M. & Zargari, B. CDS with Counterparty Risk in a Markov Chain Copula Model with Joint Defaults. , 2009.
[541]	light'>Jeanblanc, M., light'>Crepey, S.M., Assefa, S. & Bielecki, T. CVA computation for counterparty risk assessment in credit portfolio. , 2009.
[542]	light'>Jeanblanc, M. A Model of Credit Events Based on Filtering Tlight'>heory. , 2009.
[543]	Loukianova, D. & Löclight'>herbach, E. Moderate deviations for centered additive functionals of recurrent Harris processes having general state space. , 2009.
[544]	light'>Jeanmougin, M. & light'>Guedj, M. Should we abandon tlight'>he t-test: a statistical comparison of 8 tests of differential gene expression. SMPGD, Paris.. , 2009.
2008
[545]	Taupin, M.L. Déconvolution et estimation dans les modèles avec erreurs sur les variables.. , 2008.
[546]	Neuvial, P. Contributions to tlight'>he statistical analysis of microarray data. , 2008.
[547]	Birmelé, E., Elati, M., Rouveirol, C. & light'>Ambroise, C. Identification of functional modules based on transcriptional regulation structure. BMC Proceedings, 2((Suppl 4):S4):, 2008.
[548]	Bollet, M., Servant, N., Neuvial, P., Decraene, C., Lebigot, I., Meyniel, J., De Rycke, Y., Savignoni, A., Rigaill, G., Hupé, P., Fourquet, A., Sigal-Zafrani, B., Barillot, E. & Thiery, J.P. High-resolution mapping of DNA breakpoints to define true recurrences among ipsilateral breast cancers. J Natl Cancer Inst, 100(1):48-58, 2008.
[549]	light'>Brunel, N. Parameter estimation of ODEs via nonparametric estimators. Electronic Journal of Statistics, 2():1242-1267, 2008.
[550]	Butucea, C. & Taupin, M.L. New M-estimators in semiparametric regression with errors-in-variables.. Annales de l'Institut light'>Henri Poincaré, 44(3):393-421, 2008.
[551]	light'>Chiquet, J. & Limnios, N. A Method to Compute tlight'>he Transition Function of a Piecewise Deterministic Markov Process with Application to Reliability. Statistics and Probability Letters, 78(12):1397-1403, 2008.
[552]	light'>Chiquet, J., Limnios, N. & Eid, M. Modelling and Estimation tlight'>he Reliability of Stochastic Dynamical Systems with Markovian Switching. Reliabilty Engineering and System Safety, 93(12):1801-1808, 2008.
[553]	Ciullo, M., Nutile, T., light'>Dalmasso, C., Sorice, R., Bellenguez, C., Colonna, V., Persico, M. & Bourgain, C. Identification and replication of a novel obesity locus on chromosome 1q24 in isolated populations of Cilento.. Diabetes, 57(3):783-790, 2008.
[554]	Comte, F., Dedecker, J. & Taupin, M.L. Adaptive density deconvolution with dependent inputs.. Math. Methods Statist., 17(2):87-112, 2008.
[555]	Comte, F., Dedecker, J. & Taupin, M.L. Adaptive density estimation for general ARCH models.. Econometric Tlight'>heory, 24(6):1628-1662, 2008., (http://journals.cambridge.org/action/displayJournal?jid=ECT).
[556]	light'>Dalmasso, C., Génin, E. & Trégouet, D. A weighted-Holm procedure accounting for allele frequencies in genomewide association studies.. Genetics, 180(1):697-702, 2008.
[557]	light'>Dalmasso, C., Carpentier, W., Meyer, L., Rouzioux, C., Goujard, C., Chaix, M., Lambotte, O., Avettand-Fenoel, V., Le Clerc, S., Denis de Senneville, L., Deveau, C., Boufassa, F., Debré, P., Delfraissy, J. & ro, . Distinct genetic loci control plasma HIV-RNA and cellular HIV-DNA levels in HIV-1 infection: tlight'>he ANRS Genome Wide Association 01 study.. PLoS One, 3(12):e3907, 2008.
[558]	Daudin, J.J., Picard, F. & Robin, S. A mixture model for random graphs. Statist. Comput., 18(2):, 2008.
[559]	Degtyarenko, K., Matos, P., Ennis, M., Hastings, J., Zbinden, M., McNaught, A., Alcantara, R., Darsow, M., light'>Guedj, M. & Ashburner, M. Clight'>hEBI: a database and ontology for clight'>hemical entities of biological interest. Nucleic acids Research, 36():D344-D350, 2008.
[560]	Dieude, P., light'>Guedj, M., Wipff, J., Avouac, J., Hachulla, E., Diot, E., Granel, B., Sibilia, J., Cabane, J., Meyer, O., Mouthon, L., Kahan, A., Boileau, C. & Allanore, Y. Tlight'>he PTPN22 620W allele confers susceptibility to Systemic Sclerosis: a large case control study among European Caucasians and meta-analysis. Rlight'>heumatism and Arthritis, 58():2183-2188, 2008.
[561]	Dieude, P., light'>Guedj, M., Wipff, J., Avouac, J., Fajardy, I., Diot, E., Granel, B., Sibilia, J., Cabane, J., Mouthon, L., Cracowski, J., Carpentier, P., Hachulla, O., Kahan, A., Boileau, C. & Allanore, Y. Association between tlight'>he IRF5 rs2004640 functional polymorphism and systemic sclerosis: A new perspective for pulmonary fibrosis. Arthritis Rlight'>heumatoid, 60():225-233, 2008.
[562]	Forner, K., Lamarine, M., light'>Guedj, M., Dauvillier, J. & Wojcik, J. Universal false discovery rate estimation methodology for genome-wide association studies. Human light'>Heredity, 65():183-194, 2008.
[563]	light'>Guedj, M., Nuel, G. & Prum, B. A note on allelic tests in case-control association studies. Annals of Human Genetics, 72():407-409, 2008.
[564]	light'>Guedj, M., Bourillon, A., Combadières, C., Rodero, M., Dieude, P., Descamps, V., Dupin, N., Wolkenstein, P., Aegerter, P., Lebbe, C., Basset-Seguin, N., Prum, B., Saiag, P., Grandchamp, B. & Soufir, N. Variants of tlight'>he MATP/SLC45A2 gene are protective for melanoma in tlight'>he French population. Human Mutation, 29():1154-1160, 2008.
[565]	Miele, V., Vaillant, C., d'Aubenton-Carafa, Y., Tlight'>hermes, C. & Grange, T. DNA physical properties determine nucleosome occupancy from yeast to fly. Nucleic Acids Res., 36(11):3746-3756, 2008.
[566]	Neuvial, P. Asymptotic properties of false discovery rate controlling procedures under independence. Electron. J. Stat., 2():1065-1110, 2008.
[567]	Zanghi, H., light'>Ambroise, C. & Miele, V. Fast Online Graph Clustering via Erdös Renyi Mixture. Pattern Recognition, 41(12):3592-3599, 2008.
[568]	light'>crepey, S. & Matoussi, A. Reflected and doubly reflected BSDEs with jumps: a priori estimates and comparison. Ann. Appl. Probab., 18(5):2041-2069, 2008.
[569]	Bachar, I., Mâagli, H. & Zeddini, N. Estimates on tlight'>he Green function and existence of positive solutions for some nonlinear polyharmonic problems outside tlight'>he unit ball. Anal. Appl. (Singap.), 6(2):121-150, 2008.
[570]	light'>Banica, V., Carles, R. & Staffilani, G. Scattering tlight'>heory for radial nonlinear Schrödinger equations on hyperbolic space. Geom. Funct. Anal., 18(2):367-399, 2008.
[571]	light'>Banica, V. & Vega, L. On tlight'>he Dirac delta as initial condition for nonlinear Schrödinger equations. Ann. Inst. H. Poincaré Anal. Non Linéaire, 25(4):697-711, 2008.
[572]	Bielecki, T., light'>Jeanblanc, M. & Rutkowski, M. light'>Hedging of Credit Default Swaptions and First-to-default Swaps in CDS Markets . Preprint, 2008.
[573]	Bielecki, T., light'>Jeanblanc, M. & Rutkowski, M. Pricing and Trading Credit Default Swaps in a Hazard process model . Advances in Applied Prob. , 2008.
[574]	Bielecki, T.R., Crépey, S., light'>Jeanblanc, M. & Rutkowski, M. Arbitrage pricing of defaultable game options with applications to convertible bonds. Quant. Finance, 8(8):795-810, 2008.
[575]	Bielecki, T.R., Crépey, S., light'>Jeanblanc, M. & Rutkowski, M. Defaultable options in a Markovian intensity model of credit risk. Math. Finance, 18(4):493-518, 2008.
[576]	Bielecki, T.R., light'>Jeanblanc, M. & Rutkowski, M. Pricing and trading credit default swaps in a hazard process model. Ann. Appl. Probab., 18(6):2495-2529, 2008.
[577]	Blanclight'>het-Scalliet, C., El Karoui, N., light'>Jeanblanc, M. & Martellini, L. Optimal investment decisions wlight'>hen time-horizon is uncertain. J. Math. Econom., 44(11):1100-1113, 2008.
[578]	Calvez, V. & light'>Corrias, L. Tlight'>he parabolic-parabolic Keller-Segel model in \(\Bbb R>2\). Commun. Math. Sci., 6(2):417-447, 2008.
[579]	Coculescu, D., Geman, H. & light'>Jeanblanc, M. Valuation of default-sensitive claims under imperfect information. Finance Stoch., 12(2):195-218, 2008.
[580]	light'>Corrias, L. & Perthame, B. Asymptotic decay for tlight'>he solutions of tlight'>he parabolic-parabolic Keller-Segel clight'>hemotaxis system in critical spaces. Math. Comput. Modelling, 47(7-8):755-764, 2008.
[581]	Hurvich, C.M., Moulines, E. & Soulier, P. Corrigendum to: ``Estimating long memory in volatility'' [Econometrica \bf 73 (2005), no. 4, 1283--1328; MR2149248]. Econometrica, 76(3):661-662, 2008.
[582]	light'>Lemarie-Rieusset, P.G. Tlight'>he Picard iterates for tlight'>he Navier-Stokes equations in \(L>3(\Bbb R>3)\). Phys. D, 237(10-12):1334-1345, 2008.
[583]	Loclight'>herbach, E. & Loukianova, D. On Nummelin splitting for continuous time Harris recurrent Markov processes and application to kernel estimation for multi-dimensional diffusions. Stochastic Process. Appl., 118(8):1301-1321, 2008.
[584]	Loukianova, D. & Loukianov, O. Deterministic equivalents of additive functionals of recurrent diffusions and drift estimation. Stat. Inference Stoch. Process., 11(2):107-121, 2008.
[585]	Loukianova, D. & Loukianov, O. Uniform deterministic equivalent of additive functionals and non-parametric drift estimation for one-dimensional recurrent diffusions. Ann. Inst. light'>Henri Poincaré Probab. Stat., 44(4):771-786, 2008.
[586]	light'>Chiquet, J. & Limnios, N. Matlight'>hematical methods in survival analysis, reliability and quality of life. , ():, Wiley, 2008.
[587]	light'>Clight'>hevalier, E. On tlight'>he American option value near its exercise region. In Progress in industrial matlight'>hematics at ECMI 2006, 12:650-654, Springer, Berlin, 2008.
[588]	light'>Hirsch, F. & Yor, M. Fractional interwinings between two markov semigroups. , 2008.
2007
[589]	light'>Guedj, M. Méthodes statistiques pour l'analyse des données génétiques d'association à grande éclight'>helle. , 2007.
[590]	Vescovo, L. Outils et méthodes pour la classification pyramidale des données biologiques. , 2007.
[591]	Aschard, H., light'>Guedj, M. & Demenais, F. A multiple-marker two-step approach for genome-wide association studies. BMC Proceedings, 1(S134):, 2007.
[592]	Avalos, M., Grandvalet, Y. & light'>Ambroise, C. Parsimonious additive models. CSDA, 51(6):2851-2870, 2007.
[593]	Comte, F. & Taupin, M.L. Adaptive estimation in a nonparametric regression model with errors-in-variables. Statist. Sinica, 17(3):1065-1090, 2007.
[594]	Comte, F., Rozenholc, Y. & Taupin, M.L. Finite sample penalization in adaptive density deconvolution.. Journal of Statistical Computation and Simulation, 77():977-1000, 2007.
[595]	light'>Dalmasso, C., Bar-light'>Hen, A. & Broët, P. A constrained polynomial regression procedure for estimating tlight'>he local False Discovery Rate.. BMC Bioinformatics, 8():229, 2007.
[596]	light'>Dalmasso, C., Pickrell, J., Tuefferd, M., Génin, E., Bourgain, C. & Broët, P. A mixture model approach to multiple testing for tlight'>he genetic analysis of gene expression.. BMC Proc, 1 Suppl 1():S141, 2007.
[597]	Didier, G., Debomy, L., Pupin, M., Zhang, M., Grossmann, A., light'>Devauclight'>helle, C. & Laprevotte, I. Comparing sequences without alignments: application to HIV/SIV subtyping. BMC Bioinformatics, 8():1, 2007.
[598]	Elati, M., Neuvial, P., Bolotin-Fukuhara, M., Barillot, E., Radvanyi, F. & Rouveirol, C. LICORN: LearIng COoperative Regulation Networks. Bioinformatics, 23(18):2407-2414, 2007.
[599]	Garnier, S., Dieudé, P., Michou, L., l, , Bardin, T., Prum, B. & Cornélis, F. IRF5 rs2004640-T allele, tlight'>he new genetic factor for systemic lupus erytlight'>hematosus, is not associated with rlight'>heumatoid arthritis. Ann. Rlight'>heum. Dis., 66():828-831, 2007.
[600]	Gaut, B., Wright, S., Rizzon, C., Dvorak, J. & Anderson, L. Recombination: an underappreciated factor in tlight'>he evolution of plant genomes.. Nat Rev Genet., 8():77-84, 2007.
[601]	light'>Guedj, M., Della-Chiesa, E., Picard, F. & Nuel, G. Computing power in case-control association studies through tlight'>he use of quadratic approximations: application to meta-statistics. Annals of Human Genetics, 71():262-270, 2007.
[602]	Jacq, L., Garnier, S., Dieudé, P., Michou, L., l, , Prum, B., Bardin, T. & Cornélis, F. Tlight'>he ITGAV rs3738919-C allele is associated with and linked to rlight'>heumatoid arthritis in tlight'>he European Caucasian population: a family-based study. Arthritis Research \& Tlight'>herapy, 9(R63):, 2007.
[603]	Martin, L., Woo, J., Avery, C., Clight'>hen, H., North, K., Au, K., Broët, P., light'>Dalmasso, C., light'>Guedj, M., Holmans, P., Huang, B., Kuo, P., Lam, A., Li, H., Manning, A., Nikolov, I., Sinha, R. & Shi, J. Multiple testing in tlight'>he genomics era: findings from Genetic Analysis Workshop 15, Group 15.. Genet Epidemiol, 31 Suppl 1():S124-S131, 2007.
[604]	Michou, L., Lasbleiz, S., l, , Prum, B., Bardin, T., Dieude, P. & Cornélis, F. Linkage proof for PTPN22, tlight'>he new rlight'>heumatoid arthritis susceptibility gene, a human autoimmunity gene. Proc. Natl. Acad. Sci. USA, 104():1649-1654, 2007.
[605]	Picard, F., Robin, S., Lebarbier, E. & Daudin, J.J. A segmentation/clustering model for tlight'>he analysis of array CGH data. Biometrics, 63(3):758-766, 2007.
[606]	Quach, M., light'>Brunel, N. & d'Alché Buc, F. Estimating parameters and hidden variables in nonlinear state-space models based on ODEs for biological networks. Bioinformatics, 23():3209-3216, 2007.
[607]	Same, A., light'>Ambroise, C. & Govaert, G. An online Classification EM algorithm based on tlight'>he mixture model. Statistics and Computing, 17(3):209-218, 2007.
[608]	light'>Banica, V. & Duyckaerts, T. Weighted Strichartz estimates for radial Schrödinger equation on noncompact manifolds. Dyn. Partial Differ. Equ., 4(4):335-359, 2007.
[609]	Bielecki, T., light'>Jeanblanc, M. & Rutkowski, M. light'>Hedging of basket credit derivatives in credit default swap market . Journal of Credit Risk , 3:91-132, 2007.
[610]	Hamadène, S. & light'>Jeanblanc, M. On tlight'>he starting and stopping problem: application in reversible investments. Math. Oper. Res., 32(1):182-192, 2007.
[611]	Hsieh, M.C., Hurvich, C.M. & Soulier, P. Asymptotics for duration-driven long range dependent processes. J. Econometrics, 141(2):913-949, 2007.
[612]	light'>Jeanblanc, M., Klöppel, S. & Miyahara, Y. Minimal \(f>q\)-martingale measures of exponential Lévy processes. Ann. Appl. Probab., 17(5-6):1615-1638, 2007.
[613]	light'>Jeanblanc, M. & Valclight'>hev, S. Default-risky bond prices with jumps, liquidity risk and incomplete information. Decis. Econ. Finance, 30(2):109-136, 2007.
[614]	light'>Lemarie-Rieusset, P.G. Tlight'>he Navier-Stokes equations in tlight'>he critical Morrey-Campanato space. Rev. Mat. Iberoam., 23(3):897-930, 2007.
[615]	light'>Lemarie-Rieusset, P.G. Uniqueness for tlight'>he Navier-Stokes problem: remarks on a tlight'>heorem of Jean-Yves Clight'>hemin. Nonlinearity, 20(6):1475-1490, 2007.
[616]	light'>Lemarie-Rieusset, P.G. & May, R. Uniqueness for tlight'>he Navier-Stokes equations and multipliers between Sobolev spaces. Nonlinear Anal., 66(4):819-838, 2007.
[617]	Pycke, J.R. A decomposition for invariant tests of uniformity on tlight'>he splight'>here. Proc. Amer. Math. Soc., 135(9):2983-2993 (electronic), 2007.
[618]	Pycke, J.R. \(U\)-statistics based on tlight'>he Green's function of tlight'>he Laplacian on tlight'>he circle and tlight'>he splight'>here. Statist. Probab. Lett., 77(9):863-872, 2007.
[619]	, (eds). Analyse Statistique des Séquences Biologiques. , (), light'>Hermes Sciences, 2007.
[620]	light'>Jeanblanc, M., Kloeppel, S. & Miyahara, Y. Minimal variance martingale measures for geometric Lévy processes. In Stochastic processes and applications to matlight'>hematical finance, pages 193-196, World Sci. Publ., Hackensack, NJ, 2007.
[621]	light'>Chiquet, J., Limnios, N. & Eid, M. Modelling tlight'>he reliability of degradation processes through Markov renewal tlight'>heory. In Proceedings of ESREL - Safety and Reliability Conference, 2007.
[622]	Corel, E., El Feghali, R., Gérardin, F., Hoebeke, M., Nadal, M., Grossmann, A. & light'>Devauclight'>helle, C. Local Similarities and Clustering of Biological Sequences : New Insights from N-local Decoding. In Tlight'>he First International Symposium on Optimization and Systems Biology (OSB 2007), Lecture Notes in Operations Research(7):189-195, World Publishing, 2007.
[623]	Corel, E., El Feghali, R., Gérardin, F., Hoebeke, M., Nadal, M., Louis, A., Laprevotte, I., Grossmann, A. & light'>Devauclight'>helle, C. Local Similarities and Clustering of Biological Sequences. In Actes de JOBIM 2007, pages 69-71, 2007.
[624]	light'>Guedj, M., Wojcik, J. & Nuel, G. Catching Local Replications: Use of tlight'>he Local Score in Replicated Association Studies. In Proceedings of EMGM 2007 in Annals of Human Genetics, pages 550-559, 2007.
[625]	Lebarbier, E., Picard, F., Bundiska, E. & Robin, S. Joint segmentation of multivariate Gaussian processes using mixed linear models. In ASMDA 2007, 2007.
[626]	Picard, F., Daudin, J.J., Koskas, M., Schbath, S. & Robin, S. Assessing tlight'>he exceptionality of network motifs. In Jobim 2007, 2007.
[627]	light'>Chiquet, J. Modélisation et estimation des processus de dégradation avec application en fiabilité des structures. , 2007.
[628]	Latouclight'>he, P. Distributed machine learning. , 2007.
[629]	light'>Jeanblanc, M., light'>Crepey, S.M., Rutkowski, M. & Bielecki, T. Convertible Securities in a Defaultable Diffusion Model. , 2007.
[630]	light'>Jeanblanc, M. & Le Cam, Y. Reduced form modelling for credit risk. , 2007.
[631]	Aschard, H., light'>Guedj, M. & Demenais, F. A multiple-marker two-step approach to genome-wide association studies. , 2007., (Oral presentation at tlight'>he EMGM 2007, light'>Heidelberg (Germany)).
[632]	light'>Guedj, M. Local Replication: a local-score based approach to replicated association studies. , 2007., (Oral Presentation at tlight'>he IGES 2007, York (UK)).
[633]	light'>Guedj, M., Celisse, A., Robin, S. & Nuel, G. kerfdr: a semi-parametric kernel-based estimation of tlight'>he local FDR. , 2007., (Poster ar IGES 2007, York (UK)).
[634]	Nuel, G. & light'>Guedj, M. Statistical methods in genome-wide association studies. , 2007., (Colloque Génétique, Bioinformatique et Puces, Ermenonville (France)).
[635]	Wojcik, J., light'>Guedj, M. & Forner, K. Exact p-value computation and exact False Discovery Rate estimation for genome-wide association studies. , 2007., (Poster at tlight'>he HUGO HGM2007, Montreal (Canada)).
2006
[636]	Anderson, L., Lai, A., Stack, S., Rizzon, C. & Gaut, B. Uneven distribution of expressed sequence tag loci on maize pachytene chromosomes.. Genome Res., 16():115-22, 2006.
[637]	Bar-light'>Hen, A., Broët, P., light'>Dalmasso, C., Daudin, J. & Robin, S. False discovery rate.. Encyclopedia of Biopharmaceutical Statistics: Second Edition., 1():1-9, 2006.
[638]	light'>Chiquet, J. & Limnios, N. Estimating stochastic dynamical systems driven by a continuous-time jump Markov process. Methodology and Computing in Applied Probability, 8():431-447, 2006.
[639]	Comte, F., Rozenholc, Y. & Taupin, M.L. Penalized contrast estimator for adaptive density deconvolution. Canad. J. Statist., 34(3):431-452, 2006.
[640]	Cord, A., light'>Ambroise, C. & Cocquerez, J. Feature Selection in Robust Clustering based on Laplace Mixture. Pattern Recognition Letters, 27(6):627-635, 2006.
[641]	Didier, G., Laprevotte, I., Pupin, M. & Hénaut, A. Local decoding of sequences and alignment-free comparison. Journal of Computational Biology, 13(8):1465-1476, 2006.
[642]	Drouaud, J., Camilleri, C., Bourguignon, P., l, , Prum, B., Quesneville, H. & Mezard, C. Free Full Text Variation in crossing-over rates across chromosome 4 of Arabidopsis thaliana reveals tlight'>he presence of meiotic recombination hot spots.. Genome Research, 16():106-114, 2006.
[643]	light'>Guedj, M., Wojcik, J., Della-Chiesa, E., Nuel, G. & Forner, K. A fast, unbiased and exact allelic test for case-control association studies. Human light'>Heredity, 61():210-221, 2006.
[644]	light'>Guedj, M., Robelin, D., Hoebeke, M., Lamarine, M., Wojcik, J. & Nuel, G. Detecting Local High-Scoring segments: a first-stage approach for genome-wide association studies. Stat App Genet Mol Bio, 5():1-16, 2006.
[645]	La Rosa, P., Viara, E., Hupé, P., Pierron, G., Liva, S., Neuvial, P., Brito, I., Lair, S., Servant, N., Robine, N., Manié, E., Brennetot, C., Janoueix-Lerosey, I., Raynal, V., Gruel, N. & Otlight'>hers, O. VAMP: visualization and analysis of array-CGH, transcriptome and otlight'>her molecular profiles. Bioinformatics, 22(17):2066-2073, 2006.
[646]	Liva, S., Hupé, P., Neuvial, P., Brito, I., Viara, E., La Rosa, P. & Barillot, E. CAPweb: a bioinformatics CGH array Analysis Platform. Nucleic Acids Res, 34(Web Server issue)(-):477-481, 2006.
[647]	Lubrano-Bertlight'>helier, C., Dubern, B., Lacorte, J.M., Picard, F., Shapiro, A., Zhang, S., Bertrais, S., light'>Hercberg, S., Basdevant, A., Clement, K. & Vaisse, C. Melanocortin-4 receptor mutations in a large cohort of severely obese adults: prevalence, functional classification, genotype-plight'>henotype relationship, and lack of association with binge eating.. J Clin Endocrinol Metab., 91(5):1811-1818, 2006.
[648]	Matias, C., Schbath, S., Birmelé, E., Daudin, J.J. & Robin, S. Networks motifs: mean and variance for tlight'>he count. REVSTAT, 4(1):31-51, 2006.
[649]	Michou, L., Croiseau, P., l, , Prum, B., Clerget, F. & Cornélis, F. Confirmation of tlight'>he Shared Epitope Allele Classification. Arthritis Research and Tlight'>herapy, 28():79-, 2006.
[650]	Neuvial, P., Hupé, P., Brito, I., Liva, S., Manié, E., Brennetot, C., Radvanyi, F., Aurias, A. & Barillot, E. Spatial normalization of array-CGH data.. BMC Bioinformatics, 7(1):264, 2006.
[651]	Nicolas, P., Tocquet, A.S., Miele, V. & Muri, F. A Reversible Jump Markov Chain Monte-Carlo Algorithm for Bacterial Promoter Motifs Discovery. Journal of Computational Biology, 13(3):651-667, 2006.
[652]	Rizzon, C., Ponger, L. & Gaut, B. Striking similarities in tlight'>he genomic distribution of tandemly arrayed genes in Arabidopsis and rice.. PLoS Comput Biol., 2(9):e115, 2006.
[653]	Same, A., light'>Ambroise, C. & Govaert, G. A classification EM algorithm for binned data. Computational Statistics and Data Analysis, 51(2):466-480, 2006.
[654]	Zhu, X., light'>Ambroise, C. & McLachlan, G. Selection bias in working with tlight'>he top genes in supervised classification of tissue samples. Statistical Methodology, 3():29-41, 2006.
[655]	light'>Bernard, J.M. Conforming and nonconforming finite element methods for solving tlight'>he Darcy's equations. Nonlinear Anal. Real World Appl., 7(4):789-812, 2006.
[656]	Bielecki, T., light'>Jeanblanc, M. & Rutkowski, M. Completeness of a Reduced-Form Credit Risk Model with Discontinuous Asset Prices. Stochastic Models, 22:661-687, 2006.
[657]	Bielecki, T.R., light'>Jeanblanc, M. & Rutkowski, M. Replication of contingent claims in a reduced-form credit risk model with discontinuous asset prices. Stoch. Models, 22(4):661-687, 2006.
[658]	light'>Corrias, L. & Perthame, B. Critical space for tlight'>he parabolic-parabolic Keller-Segel model in \(\Bbb R>d\). C. R. Math. Acad. Sci. Paris, 342(10):745-750, 2006.
[659]	Funaki, T., Hariya, Y., light'>Hirsch, F. & Yor, M. On tlight'>he construction of Wiener integrals with respect to certain pseudo-Bessel processes. Stochastic Process. Appl., 116(12):1690-1711, 2006.
[660]	light'>Hirsch, F. Measurable metrics and Gaussian concentration. Forum Math., 18(3):345-363, 2006.
[661]	light'>Lemarie-Rieusset, P.G. Point fixe d'une application non contractante. Rev. Mat. Iberoam., 22(1):339-356, 2006.
[662]	light'>Lemarie-Rieusset, P.G. & Gala, S. Multipliers between Sobolev spaces and fractional differentiation. J. Math. Anal. Appl., 322(2):1030-1054, 2006.
[663]	light'>Lemarie-Rieusset, P.G. & Zhioua, A. Weakly singular initial values for tlight'>he Stokes equation on a half space. J. Math. Anal. Appl., 320(1):205-229, 2006.
[664]	Miele, V., Vaillant, C., D'Aubenton, Y., Grange, T. & Tlight'>hermes, C. DNA physical properties predict nucleosome occupancy along genome sequences. In CRG Scientific Sessions, ():, , 2006.
[665]	Mary-Huard, T., Picard, F. & Robin, S. Matlight'>hematical and computational methods in biology. Chapter Introduction statistical methods for microarray data analysis. , ():, , 2006.
[666]	Prum, B. & Tocquet, A.S. Tlight'>he use of Markov Models and Hidden Markov Models in genomics. In Matlight'>hematical and computational methods in biology, (), light'>Herman, 2006.
[667]	Bielecki, T.R., light'>Jeanblanc, M. & Rutkowski, M. light'>Hedging of credit derivatives in models with totally unexpected default. In Stochastic processes and applications to matlight'>hematical finance, pages 35-100, World Sci. Publ., Hackensack, NJ, 2006.
[668]	Bielecki, T.R., light'>Jeanblanc, M. & Rutkowski, M. Completeness of a general semimartingale market under constrained trading. In Stochastic finance, pages 83-106, Springer, New York, 2006.
[669]	Loukianova, D. & Loukianov, O. Almost sure rate of convergence of maximum likelihood estimators for multidimensional diffusions. In Dependence in probability and statistics, 187:329-347, Springer, New York, 2006.
[670]	light'>Chiquet, J., Limnios, N. & Eid, M. Modeling and Estimating tlight'>he Reliability of Stochastic Dynamical Systems with markovian switching. In ESREL 2006 - Safety and Reliability for managing Risks, 2006.
[671]	Daudin, J.J., Lacroix, V., Picard, F., Robin, S. & Sagot, M.F. Uncovering structure in biological networks. In JOBIM 2006, 2006.
[672]	light'>Guedj, M., Della-Chiesa, E., Forner, K., Wojcik, J. & Nuel, G. Which alternatives to tlight'>he biased allelic test in case-control association studies. In Proceedings of IGES 2006 in Genetic Epidemiology, 31:450-513, 2006.
[673]	Mariadassou, M., Daudin, J., Lacroix, V., Miele, V., Picard, F., Robin, S. & Sagot, M. Uncovering structure in biological networks. In Proceedings of RIAMS, 2006.
[674]	Miele, V., Vaillant, C., D'Aubenton, Y., Robelin, D., Prum, B. & Tlight'>hermes, C. DNA sequence drives nucleosome occupancy of yeast promoters. In Proceeding of JOBIM, 2006.
[675]	Picard, F., Daudin, J.J., Schbath, S. & Robin, S. Assessing tlight'>he exceptionality of network motifs. In Réseaux d'interactions : analyse, modélisation et simulation (RIAMS), 2006.
[676]	Prum, B. Búsqueda automática de los genes. , 2006.
[677]	Prum, B. Las matemáticas en la búsqueda de un gen responsable de cáncer. , 2006.
[678]	Prum, B. Statistique en Génomique. , 2006.
[679]	lexandreR., , E., ,.A., Debbaclight'>he, S. & Vanninathan, M. Bloch Waves Homogenization and Lyapunov-Schmidt Reduction. , 2006.
[680]	light'>Jeanblanc, M., light'>Crepey, S.M., Rutkowski, M. & Bielecki, T. Arbitrage pricing of defaultable game options with applications to convertible securities. , 2006.
[681]	Pycke, J.R. A test for uniformity of circular data based on tlight'>he geometric mean of chord lengths. , 2006.
[682]	Aschard, H., light'>Guedj, M. & Demenais, F. A three-step approach to genome-wide association studies.. , 2006., (Poster at GAW15, Tampa (USA)).
[683]	Della-Chiesa, E., light'>Guedj, M. & Nuel, G. Should we combine association statistics in case-control association studies. , 2006., (Poster at EMGM 2006, Cardiff (UK)).
[684]	light'>Guedj, M., Aschard, H. & Demenais, F. A three-step approach to genome-wide association studies.. , 2006., (GAW15 novel methods session, Tampa (USA)).
[685]	light'>Guedj, M., Aschard, H., Wojcik, J., Nuel, G. & Demenais, F. Local Score statistic: picking-up candidates genomic regions in genome-wide association studies. , 2006., (Poster at tlight'>he GAW15, Tampa (USA)).
[686]	light'>Guedj, M., Della-Chiesa, E., Forner, K., Wojcik, J. & Nuel, G. Which alternatives to tlight'>he biased allelic test in case-control association studies. , 2006., (Poster at EMGM 2006, Cardiff (UK)).
2005
[687]	Robelin, D. Détection de courts segments inversés dans les génomes - méthodes et applications. , 2005.
[688]	Avalos, M., Grandvalet, Y. & light'>Ambroise, C. Discrimination par modèles additifs parcimonieux. Revue d'Intelligence Artificielle, 19():661-682, 2005.
[689]	Bekaert, M., Richard, H., Prum, B. & Rousset, J. Identification of programmed translational -1 frameshifting sites in tlight'>he genome of Saccharomyces cerevisiae. Genome Research, 10():1411-1420, 2005.
[690]	light'>Brunel, N. & Pieczynski, W. Unsupervised signal restoration using hidden Markov chains with copulas. Signal Processing, 85():2304-2315, 2005.
[691]	light'>Dalmasso, C., Broët, P. & Moreau, T. A simple procedure for estimating tlight'>he false discovery rate.. Bioinformatics, 21(5):660-668, 2005.
[692]	light'>Dalmasso, C. & Broët, P. Procédures destimation du false discovery rate basées sur la distribution des degrés de signification.. Journal de la Société fran\,caise de Statistique, 146(1):, 2005.
[693]	light'>Devauclight'>helle, C., Dress, A., Grossmann, A. & Hénaut, A. Constructing Hierarchical Set Systems. Annals of Combinatorics, 8(4):441-456, 2005.
[694]	Dieude, P., Garnier, S., Michou, L., l, , Prum, B. & Cornelis, F. Rlight'>heumatoid arthritis seropositive for tlight'>he rlight'>heumatoid factor is linked to tlight'>he protein tyrosine phosphatase nonreceptor 22-620W allele. Arthritis Research \& Tlight'>herapy, 7():, 2005.
[695]	Govaerts, C., Srinivasan, S., Shapiro, A., Zhang, S., Picard, F., Clement, K., Lubrano-Bertlight'>helier, C. & Vaisse, C. Obesity-associated mutations in tlight'>he melanocortin-4 receptor provide novel insights into its function. peptides, 26(10):1909-1919, 2005.
[696]	Miele, V., Bourguignon, P., Robelin, D., Nuel, G. & Richard, H. seq++: a package for biological sequences analysis with a range of Markov-related models. BioInformatics, 21(11):2783-2784, 2005.
[697]	Pasek, S., Bergeron, A., Risler, J., Louis, A., Ollivier, E. & Raffinot, M. Identification of genomic features using microsyntenies of domains: Domain teams. Genome Res., 15():867-874, 2005.
[698]	Picard, F., Robin, S., Lavielle, M., Vaisse, C. & Daudin, J.J. A statistical approach for array CGH data analysis. BMC Bioinformatics, 6(1):1-14, 2005.
[699]	Tezenas du Montcel, S., Michou, L., l, , Prum, B., Cornelis, F. & Clerget, F. New classification of HLA-DRB1 alleles support tlight'>he shared epitope hypotlight'>hesis of rlight'>heumatoid arthritis susceptibility. Arthritis Rlight'>heumatism, 52(1063-1068):, 2005.
[700]	Uemura, O., Okada, Y., Ando, H., light'>Guedj, M., Higashijima, S., Shimazaki, T., Chino, N., Okano, H. & Okamoto, H. Comparative functional genomics revealed conservation and diversification of three enlight'>hencers of tlight'>he isl1 gene for moter and sensory neuro-specific expression. Developmental Biology, 278():587-606, 2005.
[701]	Weyer-Menkoff, J., light'>Devauclight'>helle, C., Grossmann, A. & Grunewald, S. Integer linear programming as a tool for constructing trees from quartet data. Comput Biol Clight'>hem, 29(3):196-203, 2005.
[702]	light'>Bernard, J.M. & Ouazar, E.H. Stationary problem of third-grade fluids in two and three dimensions: existence and uniqueness. Internat. J. Non-Linear Mech., 40(5):603-620, 2005.
[703]	Bielecki, T.R., light'>Jeanblanc, M. & Rutkowski, M. PDE approach to valuation and light'>hedging of credit derivatives. Quant. Finance, 5(3):257-270, 2005.
[704]	light'>Clight'>hevalier, E. Critical price near maturity for an American option on a dividend-paying stock in a local volatility model. Math. Finance, 15(3):439-463, 2005.
[705]	El Karoui, N., light'>Jeanblanc, M. & Lacoste, V. Optimal portfolio management with American capital guarantee. J. Econom. Dynam. Control, 29(3):449-468, 2005.
[706]	Hurvich, C., Lang, G. & Soulier, P. Estimation of long memory in tlight'>he presence of a smooth nonparametric trend. J. Amer. Statist. Assoc., 100(471):853-871, 2005.
[707]	light'>Jeanblanc, M. & Valclight'>hev, S. Partial information and hazard process. Int. J. Tlight'>heor. Appl. Finance, 8(6):807-838, 2005.
[708]	light'>Jeanblanc, M. & Valclight'>hev, S. Partial information, default hazard process,and default-risky bonds. IJTAF, 8:807-838, 2005.
[709]	Lifshits, M. & Simon, T. Small deviations for fractional stable processes. Ann. Inst. H. Poincaré Probab. Statist., 41(4):725-752, 2005.
[710]	Loukianova, D. & Loukianov, O. Uniform law of large numbers and consistency of estimators for Harris diffusions. Statist. Probab. Lett., 74(4):347-355, 2005.
[711]	Marchand, F. & light'>Lemarie-Rieusset, P.G. Solutions auto-similaires non radiales pour l'équation quasi-géostrophique dissipative critique. C. R. Math. Acad. Sci. Paris, 341(9):535-538, 2005.
[712]	light'>Ambroise, C. Modèles pour l'apprentissage statistique à partir de données complexes, mémoire d'habilitation à diriger des reclight'>herclight'>hes. , 2005.
[713]	Jones, L., Ng, S., light'>Ambroise, C., Monico, K. & McLachlan, G. Use of microarray data via model-based classification in tlight'>he study and prediction of survival from lung cancer. , ():163-173, Springer, 2005.
[714]	Sanclight'>hez, D., Ganfornina, M., Guttierez, G., Gauthier-Jeauneau, A., Risler, J. & Salier, J. Lipocalin genes and tlight'>heir evolutionary history. , ():, Landes Biosciences, 2005.
[715]	light'>Hirsch, F. Measurable metrics, intrinsic metrics and Lipschitz functions. In Current trends in potential tlight'>heory, 4:47-61, Tlight'>heta, Bucharest, 2005.
[716]	light'>Guedj, M. & Nuel, G. Local Score statistics: application to large scale association studies. In Proceedings of IGES 2005 in Genetic Epidemiology, 29:234-298, 2005.
[717]	Picard, F., Robin, S., Lebarbier, E. & Daudin, J.J. A Segmentation-Clustering problem for tlight'>he analysis of array CGH data. In ASMDA 2005, 2005.
[718]	Sujka, N., Govaert, G. & light'>Ambroise, C. Interpretable Clustering via Model-Based Divisive Hierarchical Classification. In 29th Annual GFKL (Gesellschaft für Klassifikation), 2005.
[719]	Bielecki, T., light'>Jeanblanc, M. & Rutkowski, M. Market Completeness under Constrained Trading. In Stochastic Finance, Proceedings of International Lisbon Conference, pages 83-107, Springer, 2005.
[720]	Prum, B. Trouver les gènes coupables. , 2005.
[721]	light'>Brunel, N. Sur quelques extensions des chaines de Markov cachées et couples. Applications à la segmentation de signaux radar.. , 2005.
[722]	light'>Bernard, J.M. Fully non-homogeneous problem of two dimensional second grade fluids and transport equations with normal boundary conditions. , 2005.
[723]	light'>Hirsch, F., Yor, M., Funaki, T. & Hariya, Y. On tlight'>he construction of Wiener integrals; IV : Fourier aspects. , 2005.
[724]	light'>Jeanblanc, M., light'>Crepey, S.M., Rutkowski, M. & Bielecki, T. Valuation of basket credit derivatives in tlight'>he credit migrations environment. , 2005.
[725]	light'>Jeanblanc, M., Rutkowski, M. & Bielecki, T. Completeness of a Reduced form credit risk model with discontinuous asset prices. , 2005.
[726]	light'>Guedj, M. & Nuel, G. Local Score statistics: application to large scale association studies. , 2005., (Poster at IPG, Lyon (France)).
2004
[727]	Broët, P., Lewin, A., Richardson, S., light'>Dalmasso, C. & Magdelenat, H. A mixture model-based strategy for selecting sets of genes in multiclass response microarray experiments.. Bioinformatics, 20(16):2562-2571, 2004.
[728]	light'>Dalmasso, C., Broët, P. & Moreau, T. [Multiple comparison procedures: principles, limits. Applications to microarray plight'>henotype-genotype analysis].. Rev Epidemiol Sante Publique, 52(6):523-537, 2004.
[729]	Dieudé, P., Osorio, J., l, , Prum, B. & Cornelis, F. A TNFR1 genotype with a protective role in familial rlight'>heumatoid arthritis.. Arthritis Rlight'>heumatism, 50():413-419, 2004.
[730]	Matias, C. & Taupin, M.L. Minimax estimation of linear functionals in tlight'>he convolution model. Math. Methods Statist., 13(3):282-328, 2004.
[731]	Osorio , J., Bukulmez, H., Petit-Teixeira, E., Michou, L., l, , Prum, B., Olson, J. & Cornélis, F. Dense genome-wide linkage analysis of rlight'>heumatoid arthritis including covariates. Arthritis Rlight'>heumatism, 50():2557-2565, 2004.
[732]	Srinivasan, S., Lubrano-Bertlight'>helier, C., Govaerts, C., Picard, F., Santiago, P., Conklin, B.R. & Vaisse, C. Constitutive activity of tlight'>he melanocortin-4 receptor is maintained by its N-terminal domain and plays a role in energy homeostasis in humans. Journal of Clinical Investigation, 114(8):1158-1164, 2004.
[733]	light'>crepey, S. Delta-light'>hedging vega risk?. Quant. Finance, 4(5):559-579, 2004.
[734]	light'>Banica, V. On tlight'>he nonlinear Schrödinger dynamics on \(\Bbb S>2\). J. Math. Pures Appl. (9), 83(1):77-98, 2004.
[735]	light'>Banica, V. Remarks on tlight'>he blow-up for tlight'>he Schrödinger equation with critical mass on a plane domain. Ann. Sc. Norm. Super. Pisa Cl. Sci. (5), 3(1):139-170, 2004.
[736]	light'>Bayad, A. & Gómez Ayala, J. Formes de Jacobi et formules de distribution. J. Number Tlight'>heory, 109(1):136-162, 2004.
[737]	light'>Bernard, J.M. Spectral discretizations of tlight'>he Stokes equations with non standard boundary conditions. J. Sci. Comput., 20(3):355-377, 2004.
[738]	Bielecki, T., light'>Jeanblanc, M. & Rutkowski, M. PDE approach to valuation and light'>hedging of credit derivatives . Quantitative Finance, 5: 257-270, 2004.
[739]	Blanclight'>het-Scalliet, C. & light'>Jeanblanc, M. Hazard rate for credit risk and light'>hedging defaultable contingent claims. Finance Stoch., 8(1):145-159, 2004.
[740]	Clight'>hesney, M. & light'>Jeanblanc, M. Pricing American Currency Options in an exponential Lévy Model. Applied Math. Fin., 11:207-225, 2004.
[741]	Douc, R., Fort, G., Moulines, E. & Soulier, P. Practical drift conditions for subgeometric rates of convergence. Ann. Appl. Probab., 14(3):1353-1377, 2004.
[742]	Hidalgo, J. & Soulier, P. Estimation of tlight'>he location and exponent of tlight'>he spectral singularity of a long memory process. J. Time Ser. Anal., 25(1):55-81, 2004.
[743]	light'>Jeanblanc, M., Lakner, P. & Kadam, A. Optimal bankruptcy time and consumption/investment policies on an infinite horizon with a continuous debt repayment until bankruptcy. Math. Oper. Res., 29(3):649-671, 2004.
[744]	light'>Lemarie-Rieusset, P.G. Nouvelles remarques sur l'analyticité des solutions milds des équations de Navier-Stokes dans \(\Bbb R>3\). C. R. Math. Acad. Sci. Paris, 338(6):443-446, 2004.
[745]	, (eds). Analyzing microarray gene expression data. , (), Wiley, 2004.
[746]	Bielecki, T.R., Björk, T., light'>Jeanblanc, M., Rutkowski, M., Sclight'>heinkman, J.A. & Xiong, W. Paris-Princeton Lectures on Matlight'>hematical Finance 2003. , 1847:x+250, Springer-Verlag, Berlin, 2004., (Edited by R. A. Carmona, E. \cCinlar, I. Ekeland, E. Jouini, J. A. Sclight'>heinkman and N. Touzi).
[747]	Risler, J., Louis, A., Mohseni-Zadeh, S., Brézellec, P. & light'>Diaz-Lazcoz, Y. Les comparaisons massives de séquences protéiques. , ():115-129, Editions INRA, 2004.
[748]	Bielecki, T., light'>Jeanblanc, M. & Rutkowski, M. light'>Hedging of defaultable claims. In Paris-Princeton on Matlight'>hematical Finance 2003, 1847, Springer, 2004.
[749]	Bielecki, T., light'>Jeanblanc, M. & Rutkowski, M. Stochastic Methods In Credit Risk Modelling, Valuation And light'>Hedging. In CIME-EMS Summer School on Stochastic Methods in Finance, Bressanone , 1856, Springer, 2004.
[750]	Bielecki, T.R., light'>Jeanblanc, M. & Rutkowski, M. Modeling and valuation of credit risk. In Stochastic methods in finance, 1856:27-126, Springer, Berlin, 2004.
[751]	Bielecki, T.R., light'>Jeanblanc, M. & Rutkowski, M. light'>Hedging of defaultable claims. In Paris-Princeton Lectures on Matlight'>hematical Finance 2003, 1847:1-132, Springer, Berlin, 2004.
[752]	Bielecki, T.R., light'>Jeanblanc, M. & Rutkowski, M. Pricing and light'>hedging of credit risk: replication and mean-variance approaclight'>hes. II. In Matlight'>hematics of finance, 351:55-64, Amer. Math. Soc., Providence, RI, 2004.
[753]	Szatzschneider, W., light'>Jeanblanc, M. & Kwiatkowska, T. Environment and financial markets. In Computational science---ICCS 2004. Part IV, 3039:787-794, Springer, Berlin, 2004.
[754]	Avalos, M., Grandvalet, Y. & light'>Ambroise, C. Généralisation du lasso aux modèles additifs.. In XXXVIèmes Journées de Statistique, 2004.
[755]	Avalos, M., Grandvalet, Y. & light'>Ambroise, C. Penalized additive logistic regression for cardiovascular risk prediction.. In International Conference on Statistics in light'>Health Sciences, 2004.
[756]	Charkaoui, N., Dubuisson, B., light'>Ambroise, C. & Millemann, S. Decision tree classifer for vehicle failure isolation. In Fifth International Conference on Data Mining, Text Mining and tlight'>heir Business Applications, 2004.
[757]	Hamdan, H., Govaert, G., light'>Ambroise, C. & light'>Hervé, C. A mixture model approach for acoustic emission control of pressure equipment. In 5th International Conference on Acoustical and Vibratory Surveillance Methods and Diagnostic Techniques, 2004.
[758]	Miele, V., Robelin, D., Bourguignon, P., Nuel, G. & Richard, H. seq++: a C++ library for sequence storage, Markov modelization abd scoring analysis. In Proceedings of International Congress on BioInformatics, 2004.
[759]	Prum, B., Bourguignon, P., light'>Guedj, M., Képès, F., Matias, C., Nuel, G. & Omont, N. La reclight'>herclight'>he de gènes impliqués dans une maladie, collaboration avec Genset-Serono. , 2004., (Matapli 74 p23-41).
[760]	light'>Bernard, J.M. Spectral discretizations of tlight'>he Darcy's equations with non standard boundary conditions. , 2004.
[761]	light'>Jeanblanc, M., Rutkowski, M. & Bielecki, T. Replication of defaultable claims within tlight'>he reduced-form framework. , 2004.
[762]	light'>Jeanblanc, M., Rutkowski, M. & Bielecki, T. Mean Variance light'>hedging of defaultable claims. , 2004.
[763]	light'>Jeanblanc, M., Rutkowski, M. & Bielecki, T. Indifference Pricing and light'>Hedging of Defaultable Claims. , 2004.
[764]	De Matos, P., Ennis, M., Darsow, M., Degtyarenko, K., light'>Guedj, M., Rijnbeek, M., Kretschmann, E., Binns, D., light'>Hermjakob, H. & Apweiler, R. Clight'>hEBI : Clight'>hemical Entities of Biological Interest. , 2004., (Poster at ISMB/ECCB 2004, Glasgow (Slight'>cotland)).
[765]	light'>Guedj, M. & Nuel, G. Déséquilibre de liaison et association à la maladie dans les études de SNPs cas-témoins à éclight'>helle. , 2004., (Les industriels et les mathématiciens se parlent, IHP, Paris).
2003
[766]	Durot, C. & Tocquet, A.S. On tlight'>he distance between tlight'>he empirical process and its concave majorant in a monotone regression framework. Ann. I. H. Poincaré, Probabilités \\& Statistique, 39():217-240, 2003.
[767]	Goldstein, D., Fondrat, C., Muri, F., Nuel, G., Saragueta, P., Tocquet, A.S. & Prum, B. Short inverse complementary amino-acid sequences generate protein complexity. C. R. Acad. Sci. Biologie, 326():339-348, 2003.
[768]	Laprevotte, I. & Hénaut, A. Tlight'>he new variant of tlight'>he Creutzfeldt-Jakob disease accounts for no relative increase of tlight'>he Creutzfeldt-Jakob disease mortality rate in tlight'>he United Kingdom; this fits ill with tlight'>he new variant being tlight'>he consequence of consumption of food infected with .... BMC Public light'>Health, 3():25, 2003.
[769]	Lerat, E., Rizzon, C. & Biémont, C. Sequence divergence within transposable element families in tlight'>he Drosophila melanogaster genome.. Genome Res., 13():1889-96, 2003.
[770]	Leuteneger, A., Prum, B., Genin, E., Vlight'>erny, C., Lemainque, A., Clerget, F. & Thompson, E. Estimation of tlight'>he inbreeding coefficient through use of genomic data. Am. J. Hum. Genet., 73():516-523, 2003.
[771]	Lubrano-Bertlight'>helier, C., Cavazos, M., Dubern, B., Shapiro, A., Stunff, C.L., Zhang, S., Picard, F., Govaerts, C., Froguel, P., Bougneres, P., Clement, K. & Vaisse, C. Molecular genetics of human obesity-associated MC4R mutations. Ann N Y Acad Sci., 994():49-57, 2003.
[772]	Rizzon, C., Martin, E., Marais, G., Duret, L., Ségalat, L. & Biémont, C. Patterns of selection against transposons inferred from tlight'>he distribution of Tc1, Tc3, and Tc5 insertions in tlight'>he mut-7 line of tlight'>he nematode Caenorhabditis elegans.. Genetics, 165():1127-1135, 2003.
[773]	light'>Banica, V. Dispersion and Strichartz inequalities for Schrödinger equations with singular coefficients. SIAM J. Math. Anal., 35(4):868-883 (electronic), 2003.
[774]	light'>Bernard, J.M. Time-dependent Stokes and Navier-Stokes problems with boundary conditions involving pressure, existence and regularity. Nonlinear Anal. Real World Appl., 4(5):805-839, 2003.
[775]	Boyarinov, R.N., Chubarikov, V.N. & Ngongo, I.S. Asymptotic formulas for fractional moments of special sums. Clight'>hebyslight'>hevski\u\i\ Sb., 4(4(8)):173-183, 2003.
[776]	Diday, E. & Emilion, R. Maximal and stochastic Galois lattices. Discrete Appl. Math., 127(2):271-284, 2003., (Tlight'>he 1998 Conference on Ordinal and Symbolic Data Analysis (OSDA '98) (Amlight'>herst, MA)).
[777]	light'>Hirsch, F. Intrinsic metrics and Lipschitz functions. J. Evol. Equ., 3(1):11-25, 2003., (Dedicated to Philippe Bénilan).
[778]	Matos, J. & Souplet, P. Universal blow-up rates for a semilinear light'>heat equation and applications. Adv. Differential Equations, 8(5):615-639, 2003.
[779]	light'>Ambroise, C. & Dang, M. Analyse de données. , ():100-121, light'>Hermès, 2003.
[780]	light'>Banica, V. Remarks on tlight'>he blow-up for tlight'>he Schrödinger equation with critical mass on a plane domain. In Journées ''Équations aux Dérivées Partielles'', pages Exp. No. I, 14, Univ. Nantes, Nantes, 2003.
[781]	light'>Ambroise, C. De l'importance du biais dans la sélection de gènes discriminants pour la prédiction de type de tumeurs. In Plateforme AFIA 2003, 2003.
[782]	light'>Ambroise, C. Comments on Incremental Model Based Clustering for Large Data Sets with Small Clusters by Chris Fraley, Adrian Raftery, Ron Wehrens. In 54th session of tlight'>he International Statistical Institute, 2003.
[783]	Avalos, M., Grandvalet, Y. & light'>Ambroise, C. Regularization Methods for Additive Models. In Advances in Intelligent Data Analysis V, Lecture Notes in Computer Science (LNCS), 2810:509-520, springer, 2003.
[784]	McLachlan, G. & light'>Ambroise, C. Selection bias in gene extraction in tumour classification. In 16th Australian Statistical Conference, 2003.
[785]	Same, A., light'>Ambroise, C. & Govaert, G. A mixture model approach for binned data clustering. In Advances in Intelligent Data Analysis V, Lecture Notes in Computer Science (LNCS), 2810:265-274, springer, 2003.
[786]	Cord, M. & light'>Ambroise, C. Techniques d'apprentissage pour l'indexation et la reclight'>herclight'>he d'images par le contenu. , 2003.
[787]	light'>Jeanblanc, M. & utkowski, . Modelling and light'>hedging of default risk. , 2003.
[788]	Loukianova, D. & Loukianov, O. Random rate of convergence of maximum likelihood estimators for multidimensional Harris diffusions. , 2003.
[789]	Soulier, P., Douc, R. & Moulines, E. Computable bounds for subgeometric ergodicity. , 2003.
[790]	light'>Guedj, M., Uemura, O. & Okamoto, H. Identifying regulatory elements by cross-species comparison with zebrafish. , 2003., (Oral presentation at tlight'>he BSI of RIKEN summer school 2003, Tokyo (Japan)).
[791]	light'>Guedj, M. A cognitive approach of tlight'>he immune system. , 2003., (Poster at tlight'>he BSI of RIKEN summer school 2003, Tokyo (Japan)).
2002
[792]	light'>Ambroise, C. & McLachlan, G. Selection Bias in Gene Extraction in Tumour Classification on Basis of Microarray Gene Expression Data. PNAS, 99(10):6562-6566, 2002.
[793]	Didier, G., Laprevotte, I. & Pupin, M. Codage de séquences. Gazette des Mathématiciens, (92):27-39, 2002.
[794]	Dieudé, P., Petit, E., l, , Prum, B. & Cornélis, F. Association Between Tumor Necrosis Factor Receptor II and Familial, but Not Sporadic, Rlight'>heumatoid Arthritis. Arthritis Rlight'>heumatism, 46():2039-2044, 2002.
[795]	Nicolas, P., Bize, L., Muri, F., Hoebeke, M., Rodolplight'>he, F., Ehrlich, S., Prum, B. & Bessières, P. Mining Bacillus Subtilis chromosome light'>heterogeneities using hidden Markov models. Nucleic Acids Research, 30():1418-1426, 2002.
[796]	Rizzon, C., Marais, G., Gouy, M. & Biémont, C. Recombination rate and tlight'>he distribution of transposable elements in tlight'>he Drosophila melanogaster genome.. Genome Res., 12():400-407, 2002.
[797]	light'>Bernard, J.M. Non-standard Stokes and Navier-Stokes problems: existence and regularity in stationary case. Math. Methods Appl. Sci., 25(8):627-661, 2002.
[798]	light'>Bernard, J.M. Solutions \(W>2,p,p>3\), for second grade fluid equations with a boundary of class \(C>1,1\). Comm. Appl. Nonlinear Anal., 9(1):1-29, 2002.
[799]	Douady, R. & light'>Jeanblanc, M. A Rating-based Model for Credit Derivatives. European Investment Review, 1:17-29, 2002.
[800]	Furioli, G. & Terraneo, E. Molecules of tlight'>he Hardy space and tlight'>he Navier-Stokes equations. Funkcial. Ekvac., 45(1):141-160, 2002.
[801]	Hurvich, C.M., Moulines, E. & Soulier, P. Tlight'>he FEXP estimator for potentially non-stationary linear time series. Stochastic Process. Appl., 97(2):307-340, 2002.
[802]	Hurvich, C.M. & Soulier, P. Testing for long memory in volatility. Econometric Tlight'>heory, 18(6):1291-1308, 2002.
[803]	light'>Jeanblanc, M., Pitman, J. & Yor, M. Self-Similar processes with independent increments associated with Lévy and Bessel processes. Stochastic Processes and tlight'>heir Appl., 100:223-232, 2002.
[804]	light'>Jeanblanc, M., Pitman, J. & Yor, M. Self-similar processes with independent increments associated with Lévy and Bessel. Stochastic Process. Appl., 100:223-231, 2002.
[805]	light'>Jeanblanc, M. & Privault, N. A complete market model with Poisson and Brownian components. In Seminar on Stochastic Analysis, Random Fields and Applications, III (Ascona, 1999), 52:189-204, Birkhäuser, Basel, 2002.
[806]	light'>Ambroise, C. & Govaert, G. A Mixture Model Approach to Datacube Clustering (Invited). In 26th Annual GFKL (Gesellschaft für Klassifikation), 2002.
[807]	Pardini, L., Trubuil, A., Kaeffer, B., Kervrann, C., Hoebeke, M. & Clight'>herbut, C. 3D analysis of biomarkers and investigation of temporal series by Quant3D, a Linux/UNIX software package. In Internet World Congress for Biomedical Science, 2002.
[808]	Same, A., Govaert, G. & light'>Ambroise, C. Classification de données discrètisées. In 34ème journées de statistiques, 2002.
[809]	Prum, B. Trouver un gène responsable du cancer. , 2002.
[810]	Elie, R., Frachot, A., Georges, P. & Neuvial, P. A Model of Prepayment for tlight'>he French Residential Loan Market. , 2002.
[811]	light'>Bayad, A. Une relation de distribution satisfaite par la fonction zêta de Weierstrass associée à un réseau complexe. , 2002.
[812]	light'>Bernard, J.M. Spectral approximation of tlight'>he Navier-Stokes equations coupled with tlight'>he light'>heat equation. , 2002.
[813]	light'>Jeanblanc, M. & Bernis, G. light'>Hedging defaultable derivatives via utility tlight'>heory. , 2002.
[814]	light'>Jeanblanc, M. & Clight'>hesney, M. Pricing American currency options in a jump diffusion model. , 2002.
[815]	light'>Jeanblanc, M. & Douady, R. A rating-based model for credit derivatives. , 2002.
[816]	Lazrak, A.C., Martellini, L. & Zapatero, F. Revisiting Treynor and Black (1973) : an intertemporal model of active portfolio management. , 2002.
[817]	light'>Lemarie-Rieusset, P.G. Espaces de Lorentz et Navier-Stokes : le problème des solutions auto-similaires de Leray. , 2002.
[818]	Soulier, P. & Fay, G.E.M.e.P. Edgewoth expansions for infinite triangular arrays and applications to short and long memory processes. , 2002.
[819]	Miele, V., Nicolas, N., Muri, F. & Tocquet, A.S. Sélection de modèles de Markov cachés et hétérogénéité des séquences 3'UTR du génome humain. , 2002., (JOBIM poster).
2001
[820]	light'>Ambroise, C. & Grandvalet, Y. Prediction of ozone peaks by mixture model. Ecological Modeling, 245():275-289, 2001.
[821]	Comte, F. & Taupin, M.L. Semiparametric estimation in tlight'>he (auto)-regressive \beta-mixing model with errors-in-variables. Math. Methods Statist., 10(2):121-160, 2001.
[822]	light'>Devauclight'>helle, C., Grossmann, A., Hénaut, A., Holschneider, M., Monnerot, M., Risler, J.L. & Torrésani, B. Rate matrices for analysing large families of protein sequences. Journal of Computational Biology, 8(4):381-399, 2001.
[823]	Durot, C. & Tocquet, A.S. Goodness of fit test for isotonic regression. ESAIM, Probabilités \\& Statistique, 5():119-140, 2001.
[824]	Laprevotte, I., Pupin, M., Coward, E., Didier, G., Terzian, C., light'>Devauclight'>helle, C. & Hénaut, A. HIV-1 and HIV-2 LTR nucleotide sequences: assessment of tlight'>he alignment by N-block presentation, retroviral signatures of overrepeated oligonucleotides, and a probable important role of scrambled stepwise duplications/deletions in molecular evolution. Molecular Biology and Evolution, 18():1231-1245, 2001.
[825]	Muri, F. & Prum, B. Une approclight'>he statistique de l'analyse des génomes. La Gazette des Mathématiciens, 89():63-98, 2001.
[826]	Nuel, G., Robin, S. & Baril, C. Predicting distances using a linear model: tlight'>he case of varietal distinctness. Journal of Applied Statistics, 28(5):607-627, 2001.
[827]	Taupin, M.L. Semi-parametric estimation in tlight'>he nonlinear structural errors-in-variables model. Ann. Statist., 29():66-93, 2001.
[828]	Tocquet, A.S. Likelihood based inference in nonlinear regression models using tlight'>he p* and R* approach. Scandinavian Journal of Statistics, 28():429-443, 2001.
[829]	Fay, G. & Soulier, P. Tlight'>he periodogram of an i.i.d.\ sequence. Stochastic Process. Appl., 92(2):315-343, 2001.
[830]	light'>Hirsch, F. & Song, S. Markovian uniqueness on Bessel space. Forum Math., 13(2):287-322, 2001.
[831]	Lions, P.L. & Mas-Gallic, S. Une méthode particulaire déterministe pour des équations diffusives non linéaires. C. R. Acad. Sci. Paris Sér. I Math., 332(4):369-376, 2001.
[832]	Veeravalli, A.R. On tlight'>he first Laplacian eigenvalue and tlight'>he center of gravity of compact hypersurfaces. Comment. Math. light'>Helv., 76(1):155-160, 2001.
[833]	light'>Ambroise, C. Intégration de données qualitatives et quantitatives par les modèles de mélange(Invited). In Journée Didactique IS2 sur les Mélanges de Lois de Probabilités, 2001.
[834]	light'>Ambroise, C., Denoeux, T., Govaert, G. & Smets, P. Learning from an imprecise teaclight'>her: probabilistic and evidential approaclight'>hes. In Proceeding of ASMDA 2001, 2001.
[835]	light'>Ambroise, C. & Govaert, G. Clustering and models. In Classification, Automation and New Media. Proceedings of tlight'>he 24th Annual Conference of tlight'>he Gesellshaft für Klassification, pages 1-16, springer, 2001.
[836]	light'>Ambroise, C. & Govaert, G. Modèle de mélange et cartes de Kohonen (Invited). In Séminaire Méthodes Neuronales organisé par la Société Francaise de Statistique, 2001.
[837]	light'>Ambroise, C. & Govaert, G. A mixture model approach for classifying doubtful labeled data. In Mixtures 2001, Recent Developments on Mixture Modelling, 2001.
[838]	Grandvalet, Y., D'alché-Buc, F. & light'>Ambroise, C. Boosting Mixture Models for semi-supervised tasks. In ICANN 2001, pages 41-48, springer, 2001.
[839]	Nuel, G., Baril, C. & Robin, S. Varietal distinctness assisted by molecular markers: a methodological approach. In Acta Horiculturae, Proceedings of tlight'>he MMH congresspages 65-71, 2001.
[840]	Prum, B. La reclight'>herclight'>he automatique de gènes. , 2001.
[841]	Prum, B. Mathématiques et biologie. , 2001.
[842]	Blanclight'>het-Scalliet, C. Processus à sauts et risque de défaut. , 2001.
[843]	Blanclight'>het-Scalliet, C. Processus à sauts et risque de défaut. , 2001.
[844]	light'>crepey, S. & light'>Grbac, Z. Counterparty Risk on Interest Rate Derivatives in a Multiple Curve Setup. , 2001.
[845]	Loukianova, D. Maximal likelyhood for multidimensional diffusions. , 2001.
[846]	Soulier, P. Minimax rates of convergence for tlight'>he estimation for tlight'>he memory parameter of a stationary time series. , 2001.
2000
[847]	Goldstein, D., Muri, F., Saragueta, P. & Prum, B. Inverse Complementary homologues of cysteine signatures. CRAS Sciences de la Vie, 323(2):167-172, 2000.
[848]	Bellamy, N. & light'>Jeanblanc, M. Incompleteness of markets driven by a mixed diffusion. Finance Stoch., 4(2):209-222, 2000.
[849]	Elliott, R.J., light'>Jeanblanc, M. & Yor, M. On models of default risk. Math. Finance, 10(2):179-195, 2000., (INFORMS Applied Probability Conference (Ulm, 1999)).
[850]	Furioli, G., Lemarié-Rieusset, P.G. & Terraneo, E. Unicité dans \(L>3(\Bbb R>3)\) et d'autres espaces fonctionnels limites pour Navier-Stokes. Rev. Mat. Iberoamericana, 16(3):605-667, 2000.
[851]	Furioli, G., Lemarié-Rieusset, P.G., Zahrouni, E. & Zhioua, A. Un théorème de persistance de la régularité en norme d'espaces de Besov pour les solutions de Koch et Tataru des équations de Navier-Stokes dans \(\bf R>3\). C. R. Acad. Sci. Paris Sér. I Math., 330(5):339-342, 2000.
[852]	light'>Lemarie-Rieusset, P.G. Une remarque sur l'analyticité des solutions milds des équations de Navier-Stokes dans \(\bf R>3\). C. R. Acad. Sci. Paris Sér. I Math., 330(3):183-186, 2000.
[853]	Moulines, E. & Soulier, P. Data driven order selection for projection estimator of tlight'>he spectral density of time series with long range dependence. J. Time Ser. Anal., 21(2):193-218, 2000.
[854]	Veeravalli, A.R. A sharp lower bound for tlight'>he Ricci curvature of bounded hypersurfaces in space forms. Bull. Austral. Math. Soc., 62(1):165-170, 2000.
[855]	light'>Ambroise, C. & Govaert, G. Clustering by Maximizing a Fuzzy Classification Maximum Likelihood Criterion. In Compstat 2000, Prodeedings in Computational Statistics, 14th Symposium light'>held in Utrecht, Tlight'>he Netlight'>herlands, pages 186-192, 2000.
[856]	light'>Ambroise, C. & Govaert, G. EM Algorithm for Partially Known Labels. In Data Analysis, Classification, and Related Methods, Proceedings of tlight'>he 7th Conference of tlight'>he International Federation of Classication Societies (IFCS-2000), University of Namur, Belgium, pages 161-166, springer, 2000.
[857]	light'>Ambroise, C. & Govaert, G. Mixture Models and Clustering (Invited). In 24th Annual GFKL (Gesellschaft für Klassifikation), 2000.
[858]	light'>Ambroise, C. & Grandvalet, Y. Prediction of ozone peaks by mixture models. In International Conference on Applications of Machine Learning to Ecological Modelling, 2000.
[859]	Prum, B. Une approclight'>he statistique de l'analyse des séquences génétiques. , 2000.
[860]	Prum, B. Les cha\>ines de Markov dans l'analyse des génomes. , 2000.
[861]	light'>Bayad, A. Sommes de Dedekind multiples et formes modulaires. , 2000.
[862]	Furioli, G. Une remarque sur l'article de F. Ribaud et A. Youssfi Regular and self-similar solutions of tlight'>he non-linear Schrödinger equation.. , 2000.
[863]	light'>Jeanblanc, M. & Blanclight'>het-Scalliet, C. Information et risque de défaut. , 2000.
[864]	light'>Jeanblanc, M. & El karoui, N. Options exotiques. , 2000.
[865]	light'>Jeanblanc, M. & utkowski, . Modelling of default risk : matlight'>hematical tools. , 2000.
[866]	Soulier, P. & Moulines, E. Semiparametric estimation for fractional processes. , 2000.
[867]	Nuel, G., Robin, S. & Baril, C. Varietal distinctness assisted by molecular markers: a methodological approach. , 2000., (MMH (Molecular Markers in Horticulturae) Congress, Montpellier, France).
1999
[868]	Bellamy, N. & light'>Jeanblanc, M. Incomplete markets with jumps. Finance and Stochastics , 4: 209-222, 1999.
[869]	light'>Bernard, J.M. Weak and classical solutions of equations of motion for third grade fluids. M2AN Math. Model. Numer. Anal., 33(6):1091-1120, 1999.
[870]	light'>Bernard, J.M. Stationary problem of second-grade fluids in three dimensions: existence, uniqueness and regularity. Math. Methods Appl. Sci., 22(8):655-687, 1999.
[871]	Elliott, R.J. & light'>Jeanblanc, M. Incomplete markets with jumps and informed agents. Math. Methods Oper. Res., 50(3):475-492, 1999.
[872]	Gassiat, E. & Gautlight'>herat, E. Speed of convergence for tlight'>he blind deconvolution of a linear system with discrete random input. Ann. Statist., 27(5):1684-1705, 1999.
[873]	light'>Hirsch, F. Lipschitz functions and fractional Sobolev spaces. Potential Anal., 11(4):415-429, 1999.
[874]	light'>Hirsch, F. & Song, S. Two-parameter Bessel processes. Stochastic Process. Appl., 83(1):187-209, 1999.
[875]	light'>Lemarie-Rieusset, P.G. Solutions faibles d'énergie infinie pour les équations de Navier-Stokes dans \(\bold R>3\). C. R. Acad. Sci. Paris Sér. I Math., 328(12):1133-1138, 1999.
[876]	light'>Lemarie-Rieusset, P.G. Solutions faibles d'énergie infinie pour les équations de Navier-Stokes dans \(\bold R>3\). C. R. Acad. Sci. Paris Sér. I Math., 328(12):1133-1138, 1999.
[877]	Matos, J. Convergence of blow-up solutions of nonlinear light'>heat equations in tlight'>he supercritical case. Proc. Roy. Soc. Edinburgh Sect. A, 129(6):1197-1227, 1999.
[878]	Moulines, E. & Soulier, P. Broadband log-periodogram regression of time series with long-range dependence. Ann. Statist., 27(4):1415-1439, 1999.
[879]	Veeravalli, A.R. On convex hypersurfaces of space forms. Exposition. Math., 17(5):415-428, 1999.
[880]	light'>Hirsch, F. & Song, S. Multiparameter Markov processes and capacity. In Seminar on Stochastic Analysis, Random Fields and Applications (Ascona, 1996), 45:189-200, Birkhäuser, Basel, 1999.
[881]	light'>Lacombe, G. & Mas-Gallic, S. Presentation and analysis of a diffusion-velocity method. In Flows and related numerical methods (Toulouse, 1998), 7:225-233 (electronic), Soc. Math. Appl. Indust., Paris, 1999.
[882]	Mas-Gallic, S. A presentation of tlight'>he diffusion velocity method. In Dynamical systems, plasmas and gravitation (Orléans la Source, 1997), 518:74-81, Springer, Berlin, 1999.
[883]	light'>Ambroise, C. & Govaert, G. Classification spatiale utilisant des échantillons partiellement classés. In XXXI Journées de Statistique, Résumés, pages 407-410, 1999.
[884]	Bize, L., Muri, F., Samson, F., Rodolplight'>he, F., Ehrlich, S., Prum, B. & Bessières, P. Searching gene transfers on Bacillus Subtilis using hidden Markov models. In Recomb'99 Proceedings of tlight'>he Third Annual International Conference on Computational Molecular Biology, 1999.
[885]	Granvalet, Y., light'>Ambroise, C. & Canu, S. Local learning by sparse radial basis functions. In ICANN99, pages 233-238, IEE, 1999.
[886]	veeravalli, A. Hypersurfaces in Riemannian manifolds carrying a gradient conformal vector field. , 1999.
[887]	veeravalli, A. On a characterization of tlight'>he geodesic splight'>heres. , 1999.
[888]	veeravalli, A. Fáry-Fenclight'>hel type inequalities for Riemannian loops. , 1999.
[889]	light'>Cot, C. Stochastic dichotomic models for digital video sequences. , 1999.
[890]	light'>Jeanblanc, M. & Rutkowski, M. Modelling of Default Risk : an Overview. , 1999.
[891]	Song, S. A Dirichlet form on path space and its associated symetric Markov process. , 1999.
[892]	Song, S. C-semigroup property on manifold and formulae on path spaces. , 1999.
[893]	Soulier, P. Estimation adaptative de la densité spectrale d'un processus gaussien fractionnaire. , 1999.
[894]	Soulier, P., Fay, G. & Moulines, E. Central limit tlight'>heorem for non linear functionals of tlight'>he periodogram of a stationary non Gaussian linear time series. , 1999.
[895]	Soulier, P., Iouditsky, A. & Moulines, E. Adaptative estimation of tlight'>he fractional differencing coefficient. , 1999.
1998
[896]	light'>Ambroise, C. & Govaert, G. Convergence Proof of an EM-type Algorithm for Spatial Clustering. Pattern Recognition Letters, 19():919-927, 1998.
[897]	light'>Ambroise, C., Sèze, G., Badran, S. & Thiria, S. Hierarchical clustering of self organizing map for cloud classification. Neurocomputing, 30():47-52, 1998.
[898]	Taupin, M.L. Estimation in tlight'>he nonlinear errors-in-variables model.. C. R. Acad. Sci. Paris Se\́r. I Math. 326, 7():885-890, 1998.
[899]	El Karoui, N., light'>Jeanblanc-Picqué, M. & Shreve, S.E. Robustness of tlight'>he Black and Scholes formula. Math. Finance, 8(2):93-126, 1998.
[900]	Elliott, R. & light'>Jeanblanc, M. Incomplete markets and Informed agents. Matlight'>hematical Method of Operations Research , 50:475-492 , 1998.
[901]	Gassiat, E. & Gautlight'>herat, E. Identification of noisy linear systems with discrete random input. IEEE Trans. Inform. Tlight'>heory, 44(5):1941-1952, 1998.
[902]	light'>Hirsch, F. & Song, S. Properties of tlight'>he set of positivity for tlight'>he density of a regular Wiener functional. Bull. Sci. Math., 122(1):1-15, 1998.
[903]	light'>Lemarie-Rieusset, P.G. Some remarks on tlight'>he Navier-Stokes equations in \(\bold R>3\). J. Math. Phys., 39(8):4108-4118, 1998.
[904]	light'>Lemarie-Rieusset, P.G. Some remarks on tlight'>he Navier-Stokes equations in \(\bold R>3\). J. Math. Phys., 39(8):4108-4118, 1998.
[905]	light'>Lemarie-Rieusset, P.G. & Zahrouni, E. More regular wavelets. Appl. Comput. Harmon. Anal., 5(1):92-105, 1998.
[906]	Schilling, R.L. Growth and Hölder conditions for tlight'>he sample paths of Feller processes. Probab. Tlight'>heory Related Fields, 112(4):565-611, 1998.
[907]	, (eds). Processus sur un réseau, mesures de Gibbs. , (), Masson, 1998.
[908]	Muri, F., Chauveau, D. & Cellier, D. Lecture Notes in Statistics: Discretization and MCMC Convergence Assessment. , ():127-146, Springer-Verlag, 1998.
[909]	Barlow, M.T., émery, M., Knight, F.B., Song, S. & Yor, M. Autour d'un théorème de Tsirelson sur des filtrations browniennes et non browniennes. In Séminaire de Probabilités, XXXII, 1686:264-305, Springer, Berlin, 1998.
[910]	Brenier, Y., light'>Corrias, L. & Natalini, R. Relaxation limits for a class of balance laws with kinetic formulation. In Advances in nonlinear partial differential equations and related areas (Beijing, 1997), pages 2-14, World Sci. Publ., River Edge, NJ, 1998.
[911]	light'>Lemarie-Rieusset, P.G. Quelques remarques sur les équations de Navier-Stokes dans \(\bf R>3\). In Séminaire sur les Équations aux Dérivées Partielles, 1997--1998, pages Exp. No. IX, 8, école Polytech., Palaiseau, 1998.
[912]	Taupin, M.L. Semi-parametric estimation in tlight'>he nonlinear errors-in-variables model. , 1998.
[913]	Nuel, G., Robin, S. & Baril, C. Prédiction de distance phénotypiques à partir de données moléculaires pour la distinction variétale. , 1998., (Journées méthodologiques du GEVES (Groupe d'Etude et de Contr\>ole des Variétés et des Semences), Paris, France).
1997
[914]	light'>Ambroise, C. Introduction à la reconnaissance des formes. , 1997.
[915]	light'>Bayad, A. & Robert, G. Note sur une forme de Jacobi méromorplight'>he. C. R. Acad. Sci. Paris Sér. I Math., 325(5):455-460, 1997.
[916]	Clight'>hesney, M., light'>Jeanblanc-Picqué, M. & Yor, M. Brownian Excursions and Parisian Barrier Options. Adv. Appl. Prob., 29:165-184, 1997.
[917]	Furioli, G., Lemarié-Rieusset, P.G. & Terraneo, E. Sur l'unicité dans \(L>3(\bf R>3)\) des solutions ``mild'' des équations de Navier-Stokes. C. R. Acad. Sci. Paris Sér. I Math., 325(12):1253-1256, 1997.
[918]	light'>Hirsch, F. & Song, S. Criteria of positivity for tlight'>he density of tlight'>he law of a Wiener functional. Bull. Sci. Math., 121(4):261-273, 1997.
[919]	light'>Jeanblanc, M., Pitman, J. & Yor, M. Tlight'>he Feynman-Kac formula and decomposition of Brownian paths. Mat. Apl. Comput., 16(1):27-52, 1997.
[920]	light'>Jeanblanc, M., Pitman, J. & Yor, M. Feynman-Kac formula and decompositions of Brownian paths. Computational and applied Matlight'>hematics, 16: 27-52, 1997.
[921]	light'>Lemarie-Rieusset, P.G. Fonctions d'éclight'>helle interpolantes, polyn\>omes de Bernstein et ondelettes non stationnaires. Rev. Mat. Iberoamericana, 13(1):91-188, 1997.
[922]	light'>Lemarie-Rieusset, P.G. On tlight'>he existence of compactly supported dual wavelets. Appl. Comput. Harmon. Anal., 4(1):117-118, 1997.
[923]	Clight'>hesney, M., Geman, H., light'>Jeanblanc-Picqué, M. & Yor, M. Some combinations of Asian, Parisian and Barrier Options. In Matlight'>hematics of Derivative Securities, pages 61-87, Cambridge University Press, 1997.
[924]	Mas-Gallic, S. A vortex in cell method for tlight'>he \(2\)-d isentropic gas dynamic system. In Numerical methods in mechanics (Concepción, 1995), 371:109-120, Longman, Harlow, 1997.
[925]	Yor, M., Clight'>hesney, M., Geman, H. & light'>Jeanblanc-Picqué, M. Some combinations of Asian, Parisian and barrier options. In Matlight'>hematics of derivative securities (Cambridge, 1995), 15:61-87, Cambridge Univ. Press, Cambridge, 1997.
[926]	Gautlight'>herat, E. Deconvolution aveugle des systèmes linéaires aléatoires discrets bruités ou non. , 1997.
[927]	Gautlight'>herat, E. Deconvolution aveugle des systèmes linéaires aléatoires discrets bruités ou non. , 1997.
1996
[928]	light'>Ambroise, C. & Govaert, G. Constrained Clustering and Kohonen Self-Organizing Maps. Journal of Classification, 13(2):299-313, 1996.
[929]	light'>Corrias, L. Fast Legendre-Fenclight'>hel transform and applications to Hamilton-Jacobi equations and conservation laws. SIAM J. Numer. Anal., 33(4):1534-1558, 1996.
[930]	light'>Hirsch, F. & Song, S. Inequalities for Bochner's subordinates of two-parameter symmetric Markov processes. Ann. Inst. H. Poincaré Probab. Statist., 32(5):589-600, 1996.
[931]	light'>Hirsch, F. & Song, S. Sur l'ensemble de stricte positivité de la densité de fonctionnelles de Wiener. C. R. Acad. Sci. Paris Sér. I Math., 322(5):481-484, 1996.
[932]	light'>Lemarie-Rieusset, P.G. Some remarks on orthogonal and bi-orthogonal wavelets. Mat. Apl. Comput., 15(2):125-137, 1996.
[933]	light'>Lemarie-Rieusset, P.G. Une nouvelle base d'ondelettes régulières. Comptes Rendus Acad. Sci . 322, 1996.
[934]	light'>Lemarie-Rieusset, P.G. Une nouvelle famille d'ondelettes à support compact. C. R. Acad. Sci. Paris Sér. I Math., 322(7):609-611, 1996.
[935]	Matos, J. & Sanclight'>hez, L. Two solutions for a nonlinear Dirichlet problem with positive forcing. Math. Bolight'>hem., 121(1):41-54, 1996.
[936]	light'>Hirsch, F. Tlight'>heory of capacity on tlight'>he Wiener space. In Stochastic analysis and related topics, V (Silivri, 1994), 38:69-98, Birkhäuser Boston, Boston, MA, 1996.
[937]	Matos, J. Existence of stationary solutions for certain nonlinear wave equations. In Nonlinear Klein-Gordon and Schrödinger systems: tlight'>heory and applications (Madrid, 1995), pages 329-333, World Sci. Publ., River Edge, NJ, 1996.
[938]	light'>Ambroise, C. & Govaert, G. Analyzing Dissimilarity Matrices using Kohonen Maps. In Proceeding of IFCS96, 1:425-430, 1996.
[939]	light'>Ambroise, C. Approclight'>he probabiliste en classification automatique et contraintes de voisinage. , 1996.
1995
[940]	Brenier, Y. & light'>Corrias, L. Équations de moments pour un modèle de transport. C. R. Acad. Sci. Paris Sér. I Math., 321(6):727-730, 1995.
[941]	light'>Hirsch, F. Potential tlight'>heory related to some multiparameter processes. Potential Anal., 4(3):245-267, 1995.
[942]	light'>Hirsch, F. & Song, S. Une inégalité maximale pour certains processus de Markov à plusieurs paramètres. I. C. R. Acad. Sci. Paris Sér. I Math., 320(6):719-722, 1995.
[943]	light'>Hirsch, F. & Song, S. Markov properties of multiparameter processes and capacities. Probab. Tlight'>heory Related Fields, 103(1):45-71, 1995.
[944]	light'>Hirsch, F. & Song, S. Symmetric Skorohod topology on \(n\)-variable functions and hierarchical Markov properties of \(n\)-parameter processes. Probab. Tlight'>heory Related Fields, 103(1):25-43, 1995.
[945]	Kateb, D. & light'>Lemarie-Rieusset, P.G. Asymptotic behavior of tlight'>he Daubechies filters. Appl. Comput. Harmon. Anal., 2(4):398-399, 1995.
[946]	light'>Lemarie-Rieusset, P.G. Ondelettes et fonctions d'éclight'>helle à support compact. Journal of Fourier Analysis and Applications, 1995.
[947]	light'>Lemarie-Rieusset, P.G. & Kateb, D. On tlight'>he phase of tlight'>he Daubechies filters. Applied and Computational Harmonic Analysis 2, 1995.
[948]	Mas-Gallic, S. Particle approximation of a linear convection-diffusion problem with Neumann boundary conditions. SIAM J. Numer. Anal., 32(4):1098-1125, 1995.
[949]	Song, S. Markov uniqueness and essential self-adjointness of perturbed Ornstein-Uhlenbeck operators. Osaka J. Math., 32(3):823-832, 1995.
[950]	Song, S. Inégalités de Meyer pour le semigroupe d'Ornstein-Uhlenbeck généralisé. C. R. Acad. Sci. Paris Sér. I Math., 320(8):993-996, 1995.
[951]	Veeravalli, A. Compactification d'actions de \(\bf R>k\) et systèmes hamiltoniens de type torique. Indag. Math. (N.S.), 6(2):223-234, 1995.
[952]	Mas-Gallic, S. A particle in cell method for tlight'>he isentropic gas dynamic system. In Navier-Stokes equations and related nonlinear problems (Funchal, 1994), pages 357-365, Plenum, New York, 1995.
[953]	Song, S. \(C\)-semigroups on Banach spaces and functional inequalities. In Séminaire de Probabilités, XXIX, 1613:297-326, Springer, Berlin, 1995.
[954]	light'>Ambroise, C. & Govaert, G. Self-organization for Gaussian Parsimonious Clustering. In Proceeding of ICANN1995, 1:425-430, 1995.
[955]	light'>Lemarie-Rieusset, P.G. Ondelettes et fonctions d'éclight'>helle à support compact. In Proceedings of tlight'>he Conference in Honor of Jean-Pierre Kahane (Orsay, 1993) J. Fourier Anal. Appl.pages 509-523, 1995.
1994
[956]	Donati-Martin, C., Song, S. & Yor, M. Symmetric stable processes, Fubini's tlight'>heorem, and some extensions of tlight'>he Ciesielski-Taylor identities in law. Stochastics Stochastics Rep., 50(1-2):1-33, 1994.
[957]	Donati-Martin, C., Song, S. & Yor, M. On symmetric stable random variables and matrix transposition. Ann. Inst. H. Poincaré Probab. Statist., 30(3):397-413, 1994.
[958]	light'>Hirsch, F. & Song, S. Propriétés de Markov des processus à plusieurs paramètres et capacités. C. R. Acad. Sci. Paris Sér. I Math., 319(5):483-488, 1994.
[959]	Laval, G., Mas-Gallic, S. & Raviart, P.A. Paraxial approximation of ultrarelativistic intense beams. Numer. Math., 69(1):33-60, 1994.
[960]	light'>Lemarie-Rieusset, P.G. Un théorème d'inexistence pour les ondelettes vecteurs à divergence nulle. C. R. Acad. Sci. Paris Sér. I Math., 319(8):811-813, 1994.
[961]	light'>Lemarie-Rieusset, P.G. Projecteurs invariants, matrices de dilatation, ondelettes et analyses multi-résolutions. Rev. Mat. Iberoamericana, 10(2):283-347, 1994.
[962]	light'>Lemarie-Rieusset, P.G. Polyn\>omes de Bernstein en théorie des ondelettes. C. R. Acad. Sci. Paris Sér. I Math., 319(1):21-24, 1994.
[963]	light'>Lemarie-Rieusset, P.G. Distributions dont tous les coefficients d'ondelettes sont nuls. C. R. Acad. Sci. Paris Sér. I Math., 318(12):1083-1086, 1994.
[964]	light'>Lemarie-Rieusset, P.G. Ondelettes et poids de Muckenhoupt. Studia Math., 108(2):127-147, 1994.
[965]	Song, S. Compactifications of Banach spaces and construction of diffusion processes. Acta Math. Appl. Sinica (English Ser.), 10(3):225-232, 1994.
[966]	Song, S. A study on Markovian maximality, change of probability and regularity. Potential Anal., 3(4):391-422, 1994.
[967]	Song, S. Une propriété de l'espérance conditionnelle dans l'espace produit de Wiener. Bull. Sci. Math., 118(2):167-176, 1994.
[968]	Mas-Gallic, S. & Raviart, P.A. Matlight'>hematical models of ion extraction and plasma slight'>heaths. In Advances in kinetic tlight'>heory and computing, 22:82-106, World Sci. Publ., River Edge, NJ, 1994.
[969]	Song, S. Construction d'un processus à\ deux paramètres à\ partir d'un semigroupe à\ un paramètre. In Classical and modern potential tlight'>heory and applications (Chateau de Bonas, 1993), 430:419-451, Kluwer Acad. Publ., Dordrecht, 1994.
[970]	Song, S. Some calculations on tlight'>he conditional densities of well-admissible measures on linear spaces [ MR1266225 (95b:31011)]. In ICPT '91 (Amersfoort, 1991), pages 159-170, Kluwer Acad. Publ., Dordrecht, 1994.
[971]	Song, S. Some calculations on tlight'>he conditional densities of well-admissible measures on linear spaces. In Proceedings from tlight'>he International Conference on Potential Tlight'>heory (Amersfoort, 1991) Potential Anal., 3(1):159-170, 1994.
1993 a 1998
[972]	light'>Bayad, A. Un analogue p-adique à une formule complexe généralisée de Weber. , 1993 a 1998.
[973]	light'>Bayad, A. Sur le théorème de Hilbert-Speiser relatif. , 1993 a 1998.
[974]	light'>Hirsch, F. Quasi-sure analysis of some non negative Brownian martingales. , 1993 a 1998.
[975]	light'>Hirsch, F. & Song, S. Symmetric Skohorod topology on n-variable functions and hierarchical Markov properties of n-parameter processes.. , 1993 a 1998.
[976]	light'>Jeanblanc-Picqué, M. & El Karoui, N. Optimization of consumption with labor income. , 1993 a 1998.
[977]	light'>Jeanblanc-Picqué, M., Yor, M. & Clight'>hesney, M. Brownian Excursions and Parisian Options. , 1993 a 1998.
[978]	Lemarié-Rieusset, P.G., Furioli, G. & Terraneo, E. Unicité dans L>3(R>3) et d'autres espaces fonctionnels limites pour Navier-Stokes. , 1993 a 1998.
[979]	Lemarié-Rieusset, P.G., Furioli, G. & Terraneo, E. Uniqueness of mild solutions for tlight'>he Navier-Stokes equations. , 1993 a 1998.
[980]	Song, S. A remark on a result of Duffie and Lando. , 1993 a 1998.
[981]	Song, S. Deux applications de la théorie du grossissement de filtration. , 1993 a 1998.
[982]	Song, S. L. Schwartz's formal semimartingale and local solutions to tlight'>he problem of enlargement of filtrations.. , 1993 a 1998.
[983]	Song, S. Results on semi-martingales defined on an open set. Application to a problem of enlargement of filtration.. , 1993 a 1998.
[984]	Song, S. Intégrale stochastique par rapport aux semi-martingales sur un ouvert borné prévisible.. , 1993 a 1998.
[985]	Song, S. La partie modérément grossie associée à un couple de filtrations ordonnées, calculs stochastiques sur un ouvert aléatoire.. , 1993 a 1998.
[986]	Song, S. Reclight'>herclight'>he aveugle des solutions aux problèmes de grossissements de filtrations. Illustrations dans l'exemple des grossissements progressifs de filtrations.. , 1993 a 1998.
[987]	Soulier, P. Some new bounds and a central limit tlight'>heorem for non stationary sequences of Gaussian vectors.. , 1993 a 1998.
[988]	Soulier, P. Non parametric estimation of tlight'>he diffusion coefficient of a diffusion process. , 1993 a 1998.
[989]	Veeravalli, A. Rigidity of tlight'>he Ricci curvature of compact hypersurfaces.. , 1993 a 1998.
1993
[990]	Albeverio, S. & Song, S. Closability and resolvent of Dirichlet forms perturbed by jumps. Potential Anal., 2(2):115-130, 1993.
[991]	Jouini, A. & light'>Lemarie-Rieusset, P.G. Analyse multi-résolution bi-orthogonale sur l'intervalle et applications. Ann. Inst. H. Poincaré Anal. Non Linéaire, 10(4):453-476, 1993.
[992]	Khalfallah, K., light'>Lacombe, G. & Lerat, A. Analysis of implicit treatments for a centred Euler solver. Comput. \& Fluids, 22(2-3):381-406, 1993.
[993]	light'>Lemarie-Rieusset, P.G. Ondelettes généralisées et fonctions d'éclight'>helle à support compact. Revista Mat. Iberoamer. 9, 1993.
[994]	light'>Lemarie-Rieusset, P.G. Fonctions d'éclight'>helle pour les ondelettes de dimension n. Comptes Rendus Acad. Sci. 316, 1993.
[995]	light'>Lemarie-Rieusset, P.G. Une remarque sur les propriétés multi-résolution des fonctions splines. Comptes Rendus Acad. Sci. 317, 1993.
[996]	light'>Lemarie-Rieusset, P.G. Une remarque sur les propriétés multi-résolution des fonctions splines. C. R. Acad. Sci. Paris Sér. I Math., 317(12):1115-1117, 1993.
[997]	light'>Lemarie-Rieusset, P.G. Ondelettes generalisées et fonctions d'éclight'>helle à\ support compact. Rev. Mat. Iberoamericana, 9(2):333-371, 1993.
[998]	Loukianov, O. Application du prolongement analytique au problème inverse du potentiel. Potential Anal., 2(4):387-400, 1993.
[999]	Song, S. An infinite-dimensional analogue of tlight'>he Albeverio-Röckner's tlight'>heorem on Fukushima's conjecture. Acta Math. Appl. Sinica (English Ser.), 9(2):115-124, 1993.
[1000]	Song, S. Processus d'Ornstein-Uhlenbeck et ensembles \(W>2,2\)-polaires. Potential Anal., 2(2):171-186, 1993.
[1001]	Song, S. Inégalités relatives aux processus d'Ornstein-Uhlenbeck à \(n\)-paramètres et capacité gausienne \(c_n,2\). C. R. Acad. Sci. Paris Sér. I Math., 316(2):191-193, 1993.
[1002]	Veeravalli, A. Compactification d'actions de \(\bf R>k\) et systèmes hamiltoniens de type torique. C. R. Acad. Sci. Paris Sér. I Math., 317(3):289-292, 1993.
[1003]	light'>Lacombe, G. & Lerat, A. On tlight'>he steady-state accuracy of an implicit Navier-Stokes solver of Lax-Wendroff type. In Numerical methods for fluid dynamics, 4 (Reading, 1992), pages 365-373, Oxford Univ. Press, New York, 1993.
[1004]	light'>Lemarie-Rieusset, P.G. Projection operators in multiresolution analysis. In Different perspectives on wavelets (San Antonio, TX, 1993), 47:59-76, Amer. Math. Soc., Providence, RI, 1993.
[1005]	light'>Lemarie-Rieusset, P.G. A wavelet representation of past and future. In Progress in wavelet analysis and applications (Toulouse, 1992), pages 701-706, Frontières, Gif-sur-Yvette, 1993.
[1006]	Mas-Gallic, S., Louaked, M. & Pironneau, O. A particle in cell method for tlight'>he \(2\)-D compressible Euler equations. In Vortex flows and related numerical methods (Grenoble, 1992), 395:373-387, Kluwer Acad. Publ., Dordrecht, 1993.
[1007]	Song, S. Inégalités relatives aux processus d'Ornstein-Uhlenbeck à \(n\)-paramètres et capacité gaussienne \(c_n,2\). In Séminaire de Probabilités, XXVII, 1557:276-301, Springer, Berlin, 1993.
[1008]	Loukianov, O. Méthode du prolongement analytique dans le problème inverse du potentiel. , 1993.
[1009]	Loukianov, O. Méthode du prolongement analytique dans le problème inverse du potentiel. , 1993.
1992
[1010]	light'>Lemarie-Rieusset, P.G. Analyses multi-résolutions non orthogonales, commutation entre projecteurs et dérivations et ondelettes vecteurs à divergence nulle. Revista Mat. Iberoamer. 8, 1992.
[1011]	light'>Lemarie-Rieusset, P.G. Existence de fonctions-pères pour les ondelettes à support compact. Comptes Rendus Acad. Sci. 314, 1992.
[1012]	light'>Lemarie-Rieusset, P.G. Sur l'existence des analyses multi-résolutions en théorie des ondelettes. Revista Mat. Iberoamer. 8, 1992.
[1013]	light'>Lemarie-Rieusset, P.G. Wavelets and operators. St Petersburg Math. Journal 3, 1992.
[1014]	Song, S. Admissible vectors and tlight'>heir associated Dirichlet forms. Potential Anal., 1(4):319-336, 1992.
1991
[1015]	light'>Lemarie-Rieusset, P.G. Ondelettes et opérateurs [en russe/russian]. Algebra and Analysis (Leningrad) 3, 1991.
[1016]	light'>Lemarie-Rieusset, P.G. La propriété de support minimum dans les analyses multi-résolutions. Comptes Rendus Acad. Sci. 312, 1991.
[1017]	light'>Lemarie-Rieusset, P.G. Fonctions à support compact dans les analyses multi-résolutions. Revista Mat. Iberoamer. 7, 1991.
[1018]	light'>Lemarie-Rieusset, P.G. Ondelettes vecteurs à divergence nulle. Comptes Rendus Acad. Sci. 313, 1991.
[1019]	, (eds). Stochastic processes on a lattice and Gibbs measure. , (), Kluwer, 1991.
[1020]	Song, S. Remarks on measure branching processes. In Chinese matlight'>hematics into tlight'>he 21st century (Tianjin, 1988), pages 193-203, Peking Univ. Press, Beijing, 1991.
1987
[1021]	Song, S. & Yor, M. Inégalités pour les processus self-similaires arrêtés à un temps quelconque. In Séminaire de Probabilités, XXI, 1247:230-245, Springer, Berlin, 1987.
1984
[1022]	Laprevotte, I., Hampe, A., Slight'>herr, C. & Galibert, F. Nucleotide sequence of tlight'>he gag gene and gag-pol junction of feline leukemia virus. Journal of Virology, 50(3):884-894, 1984.
1982
[1023]	Dellaclight'>herie, C., Feyel, D. & Mokobodzki, G. Intégrales de capacités fortement sous-additives. In Seminar on Probability, XVI, 920:8-40, Springer, Berlin-New York, 1982.

Ici un exemple : <btex>team:SG</btex>  Valeurs possibles : SG, EDP, Autres, PMF

2024
[1]	Jawad, H. & Brunel, N.J.B. QROA: A Black-Box Query-Response Optimization Attack on LLMs. , 2024., (working paper or preprint).
2023
[2]	Chen, S., Brunel, N.J.B., Yang, X. & Cui, X. Learning Interactions in Reaction Diffusion Equations by Neural Networks. Entropy, 25(3):489, MDPI, 2023.
2022
[3]	Brunel, N.J.B. & Ibrahim Amoukou, S. Consistent Sufficient Explanations and Minimal Local Rules for explaining any classifier or regressor. In Neural Information Processing Systems, 2022.
2019
[4]	Lemay, M.A., Torkamaneh, D., Rigaill, G., Boyle, B., Stec, A.O., Stupar, R.M. & Belzile, F. Screening populations for copy number variation using genotyping-by-sequencing: a proof of concept using soybean fast neutron mutants. BMC Genomics, 20:634, BioMed Central, 2019.
[5]	Morel, M., Bacry, E., Gaïffas, S., Guilloux, A. & Leroy, F. ConvSCCS: con volutional self-controlled case-seris model for lagged adverser event detection. Biostatistics, Oxford University Press (OUP), 2019.
[6]	Lannes, R., Rizzon, C. & Lerat, E. Does the Presence of Transposable Elements Impact the Epigenetic Environment of Human Duplicated Genes?. Genes, 10(3):249, MDPI, 2019.
[7]	Vinet, M., Suresh, S., Maire, V., Monchecourt, C., Nemati, F., Lesage, L., Pierre, F., Ye, M., Lescure, A., Brisson, A., Meseure, D., Nicolas, A., Rigaill, G., Marangoni, E., del Nery, E., Roman-Roman, S. & Dubois, T. Protein arginine methyltransferase 5: A novel therapeutic target for triple-negative breast cancers. Cancer Medicine, 8(5):2414-2428, Wiley, 2019.
[8]	Alaya, M.Z., Bussy, S., Gaïffas, S. & Guilloux, A. Binarsity: a penalization for one-hot encoded features. Journal of Machine Learning Research, 20(118):1-34, Microtome Publishing, 2019.
[9]	Palomares, M.A., Dalmasso, C., Bonnet, E., Derbois, C., Brohard-Julien, S., Ambroise, C., Battail, C., Deleuze, J.F. & Olaso, R.E. Systematic analysis of TruSeq, SMARTer and SMARTer Ultra-Low RNA-seq kits for standard, low and ultra-low quantity samples.. Scientific Reports, 9:1-12, Nature Publishing Group, 2019.
[10]	Maire, V., Mahmood, F., Rigaill, G., Ye, M., Brisson, A., Nemati, F., Gentien, D., Tucker, G.C., Roman-Roman, S. & Dubois, T. LRP8 is overexpressed in estrogen-negative breast cancers and a potential target for these tumors. Cancer Medicine, 8(1):325-336, Wiley, 2019.
[11]	Bussy, S., Guilloux, A., Gaïffas, S. & Jannot, A.S. C-mix: a high dimensional mixture model for censored durations, with applications to genetic data. Statistical Methods in Medical Research, 28(5):1523-1539, SAGE Publications, 2019.
[12]	Robin, G., Ambroise, C. & Robin, S.S. Incomplete graphical model inference via latent tree aggregation. Statistical Modelling, 19(5):545-568, SAGE Publications, 2019.
[13]	Bussy, S., Veil, R., Looten, V., Burgun, A., Gaiffas, S., Guilloux, A., Ranque, B. & Jannot, A.S. Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework. BMC Medical Research Methodology, 19(1):50, BioMed Central, 2019.
[14]	Forst, E., Enjalbert, J., Allard, V., Ambroise, C., Krissaane, I., Mary Huard, T., Robin, S. & Goldringer, I. A generalized statistical framework to assess mixing ability from incomplete mixing designs using binary or higher order variety mixtures and application to wheat. Field Crops Research, 242:107571, Elsevier, 2019.
[15]	Fearnhead, P. & Rigaill, G. Changepoint detection in the presence of outliers. Journal of the American Statistical Association, 114(525):169-183, Taylor \& Francis, 2019.
[16]	Billat, V., Carbillet, T., Correa, M. & Pycke, J.R. Detecting the marathon asymmetry with a statistical signature. Physica A: Statistical Mechanics and its Applications, 515:240-247, Elsevier, 2019.
[17]	Ambroise, C., Dehman, A., Neuvial, P., Rigaill, G. & Vialaneix, N. Adjacency-constrained hierarchical clustering of a band similarity matrix with application to Genomics. Algorithms for Molecular Biology, 14:22, BioMed Central, 2019.
[18]	Robin, S.S. & Ambroise, C. Applications in Genomics. In HANDBOOK OF MIXTURE ANALYSIS, CRC PRESS-TAYLOR \& FRANCIS GROUP, 2019.
[19]	Chiquet, J., Rigaill, G. & Sundqvist, M. A Multiattribute Gaussian Graphical Model for Inferring Multiscale Regulatory Networks: An Application in Breast Cancer. In Gene Regulatory Networks, pages 143-160, 2019.
[20]	Hulot, A., Chiquet, J., Jaffrezic, F. & Rigaill, G. Fast tree aggregation for consensus hierarchical clustering: application to multi-omics data analysis. In Statistical Methods for Post-Genomic Data (SMPGD), 2019.
[21]	Lefebvre, V., Maillot, G., Szadkowski, E., Caromel, B., Massire, A., Bachellez, A., Touhami, N., Rigaill, G., Chadoeuf, J. & Lamour, K. Impact of host partial resistance on the gene expression of Phytophthora capsici: consequences for pepper breeding. In 17. Eucarpia Meeting on Genetics and Breeding of Capsicum and Eggplant (2019), 2019.
[22]	Enjalbert, J., Allard, V., Ambroise, C., Andrieu, B., Barot, S., Bentze, L., Blanc, E., Borg, J., Cantarel, A., Coléno, F., Pope de Vallavieille, C., Descoureaux, D., Dezette, D., Dubs, F., Feret, M., Forst, E., Fugeray-Scarbel, A., Galic, N., Gauffreteau, A., Gilet, J., Goldringer, I., Goussault, C., Hannachi, M., Hinsinger, P., Houivet, G., Hugoni, M., Jeuffroy, M.H., Kerbiriou, C., Labarthe, P., Lata, J., Leroux, X., Lecarpentier, C., Leconte, M., Lejars, L., Lemain, B., Lemarié, S., Leny, F., Le Viol, I., Lusley, P., Mary-Huard, T., Mirlicourtois, E., Montagnier, C., Niboyet, A., Omon, B., Perronne, R., Piaud, S., Pin, S., Cervek, C., Jouanne, S., Piaud, S., Poly, F., Pommier, T., Porcher, E., Saint-Jean, S., Salmon, S., Tropée, D., Vergnes, A., van Frank, G. & Vidal, T. An interdisciplinary approach to increase wheat within-field diversity and promote agro-ecosystem services. In European Conference on Crop Diversification, 2019.
[23]	Lerbet, J., Challamel, N., Nicot, F. & Darve, F. Intrinsic Incremental Mechanics. In 4th International SEE Conference on Geometric Science of Information (GSI), 11712:51-54, 2019.
[24]	Gautreau, G., Bazin, A., Planel, R., Gachet, M., Dubois, M., Burlot, L., Perrin, A., Touchon, M., Rocha, E., Ambroise, C., Matias, C., Médigue, C. & Vallenet, D. PanGBank: depicting microbial species diversity via PPanGGOLiN. , 2019., (Poster).
[25]	Ambroise, C., Dehman, A., Neuvial, P., Rigaill, G. & Vialaneix, N. Adjacency-constrained hierarchical clustering of a band similarity matrix with application to genomics. , 2019., (Poster).
[26]	Chiquet, J., Rigaill, G. & Hulot, A. mergeTrees: Aggregating Trees. CRAN, 2019., ().
[27]	Kamari, H., Huet, S. & Taupin, M.L. RKHSMetaMod: An R package to estimate the Hoeffding decomposition of an unknown function by solving RKHS ridge group sparse optimization problem. , 2019., (working paper or preprint).
[28]	Garcia de La Torre, V.S., Majorel-Loulergue, C., Gonzalez, D.A., Soubigou-Taconnat, L., Rigaill, G., Pillon, Y., Barreau, L., Thomine, S., Fogliani, B., Burtet-Sarramegna, V. & Merlot, S. Wide cross-species RNA-Seq comparison reveals a highly conserved role for Ferroportins in nickel hyperaccumulation in plants. , 2019., (working paper or preprint).
[29]	Laso-Jadart, R., Sugier, K., Petit, E., Labadie, K., Peterlongo, P., Ambroise, C., Wincker, P., Jamet, J.L. & Madoui, M.A. Linking Allele-Specific Expression And Natural Selection In Wild Populations. , 2019., (working paper or preprint).
[30]	Huet, S. & Taupin, M.L. Metamodel construction for sensitivity analysis. , 2019., (working paper or preprint).
2018
[31]	Albert, E., Duboscq, R., Latreille, M., Santoni, S., Beukers, M., Bouchet, J.P., Bitton, F., Gricourt, J., Poncet, C., Gautier, V., Jimenez-Gomez, J., Rigaill, G. & Causse, M. Allele-specific expression and genetic determinants of transcriptomic variations in response to mild water deficit in tomato. The Plant Journal, 96(3):635-650, Wiley, 2018.
[32]	Jonchère, V., Marisa, L., Greene, M., Virouleau, A., Buhard, O., Bertrand, R., Svrcek, M., Cervera, P., Goloudina, A., Guillerm, E., Coulet, F., Landman, S., Ratovomanana, T., Job, S., Ayadi, M., Elarouci, N., Armenoult, L., Merabtene, F., Dumont, S., Parc, Y., Lefèvre, J., André, T., Fléjou, J.F., Guilloux, A., Collura, A., de Reynies, A. & Duval, A. Identification of Positively and Negatively Selected Driver Gene Mutations Associated With Colorectal Cancer With Microsatellite Instability Positive Selection Pressure Mutational Background Negative Selection Pressure Mutational Frequency Microsatellite length (bp). Cellular and Molecular Gastroenterology and Hepatology, 6(3):277-300, Philadelphia, PA : American Gastroenterological Association, [2015]-, 2018.
[33]	Guinot, F., Szafranski, M., Ambroise, C. & Samson, F. Learning the optimal scale for GWAS through hierarchical SNP aggregation. BMC Bioinformatics, 19(1):459, BioMed Central, 2018.
[34]	Lloyd, A., Blary, A., Charif, D., Charpentier, C., Tran, J., Balzergue, S., Delannoy, E., Rigaill, G. & Jenczewski, E. Homoeologous exchanges cause extensive dosage-dependent gene expression changes in an allopolyploid crop. New Phytologist, 217(1):367-377, Wiley, 2018.
[35]	Sadacca, B., Hamy, A.S., Laurent, C., Gestraud, P., Bonsang-Kitzis, H., Pinheiro, A., Abecassis, J., Neuvial, P. & Reyal, F. New insight for pharmacogenomics studies from the transcriptional analysis of two large-scale cancer cell line panels (vol 7, 15126, 2016). Scientific Reports, 8, Nature Publishing Group, 2018., (Author Correction: New insight for pharmacogenomics studies from the transcriptional analysis of two large-scale cancer cell line panels).
[36]	Guinot, F., Szafranski, M., Ambroise, C. & Samson, F. Learning the optimal scale for GWAS through hierarchical SNP aggregation. BMC Bioinformatics, 19, BioMed Central, 2018.
[37]	Celisse, A., Marot, G., Male, P.J. & Rigaill, G. New efficient algorithms for multiple change-point detection with reproducing kernels. Computational Statistics and Data Analysis, 128:200-220, Elsevier, 2018.
[38]	Billat, V., Brunel, N.J.B., Carbillet, T., Labbé, S. & Samson, A. Humans are able to self-paced constant running accelerations until exhaustion. Physica A: Statistical Mechanics and its Applications, 506:290-304, Elsevier, 2018.
[39]	Malbert, B., Rigaill, G., Brunaud, V., Lurin, C. & Delannoy, E. Bioinformatic analysis of chloroplast gene expression and RNA posttranscriptional maturations using RNA Sequencing. In Plastids, 1829:16, Humana Press Inc., 2018.
[40]	Sow, M.D., Allona, I., Ambroise, C., Conde, D., Fichot, R.R., Gribkova, S., Jorge, V., Le Provost, G., Pâques, L., Plomion, C., Salse, J., Sanchez Rodriguez, L., Segura, V., Tost, J. & Maury, S. Epigenetics in Forest Trees: State of the Art and Potential Implications for Breeding and Management in a Context of Climate Change. In Plant Epigenetics Coming of Age for Breeding Applications, 88:454 p., Academic press, Elsevier, 2018., (Chapitre 12).
[41]	Gautreau, G., Ambroise, C., Matias, C., Perrin, A., Planel, R., Touchon, M., Médigue, C., Rocha, E., Cruveiller, S. & Vallenet, D. PPanGGOLiN: Depicting microbial diversity via a Partitioned Pangenome Graph. In Genome Informatics 2018, 2018.
[42]	Hulot, A., Chiquet, J., Jaffrezic, F. & Rigaill, G. Fused-ANOVA : une méthode de clustering en grande dimension. In 50èmes Journées de Statistique, 2018.
[43]	Brunel, N., Goujot, D., Labarthe, S. & Laroche, B. Parameter estimation for dynamical systems using an FDA approach. In 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018), 2018.
[44]	Gautreau, G., Ambroise, C., Matias, C., Perrin, A., Planel, R., Touchon, M., Médigue, C., Rocha, E., Cruveiller, S. & Vallenet, D. PPanGGOLiN: Depicting microbial diversity via a Partitioned Pangenome Graph. In JOBIM 2018 Journées Ouvertes Biologie, Informatique et Mathématiques, 2018.
[45]	Ambroise, C., Dehman, A., Koskas, M., Neuvial, P., Rigaill, G. & Vialaneix, N. Adjacency-constrained hierarchical clustering of a band similarity matrix with application to genomics. In Journée Régionale de Bioinformatique et Biostatistique, Génopole Toulouse, 2018.
[46]	Sundqvist, M., de Koning, L., Rigaill, G., Dubois, T. & Chiquet, J. PO-435 Proteomic classification of triple negative breast cancer. , 3:A402, 2018., (Poster).
[47]	Virouleau, A., Guilloux, A., Gaïffas, S. & Bogdan, M. HIGH-DIMENSIONAL ROBUST REGRESSION AND OUTLIERS DETECTION WITH SLOPE. , 2018., (working paper or preprint).
[48]	Alaya, M.Z., Lemler, S., Guilloux, A. & Allart, T. High-dimensional time-varying Aalen and Cox models. , 2018., (working paper or preprint).
2015
[49]	Chevalier, E., Vath, V.L., Roch, A. & Scotti, S. Optimal exit strategies for investment projects. Journal of Mathematical Analysis and Applications, 425(2):666-694, Elsevier, 2015.
[50]	Latouche, P., Birmele, E. & Ambroise, C. Handbook of Mixed Membership Models and Their Applications. , pages 547-568Chapman and Hall, 2015.
[51]	Guilloux, A., Lemler, S. & Taupin, M. Adaptive estimation of the baseline hazard function in the Cox model by model selection, with high-dimensional covariates. , 2015.
[52]	Pierre-Jean, M. Non parametric DNA copy number segmentation using kernels. , 2015., (SMPGD'2015).
2014
[53]	Latouche, P., Birmele, E. & Ambroise, C. Model Selection in Overlapping Stochastic Block Models. Electronic Journal of Statistics, 8:762-794, 2014.
[54]	Dedecker, J., Samson, A. & Taupin, M.L. Estimation in autoregressive model with measurement error. ESAIM Probab. \& Stat., 18():277-307, 2014., (http://dx.doi.org/10.1051/ps/2013037).
[55]	Lemler, S. Oracle inequalities for the Lasso in the high-dimensional Aalen multiplicative intensity model. Accepted in Les Annales de l'Institut Henri Poincaré, 00(?), 2014.
[56]	Pierre-Jean, M., Rigaill, G. & Neuvial, P. Performance evaluation of DNA copy number segmentation methods. Briefings in Bioinformatics, 2014.
[57]	crepey, S., Grbac, Z., Ngor, N. & Skovmand, D. A Lévy HJM multiple-curve model with application to CVA computation. Quantitative Finance, 2014., (Forthcoming (DOI:10.1080/14697688.2014.942232)).
[58]	Kim, D., Bayad, A. & Park, J. Euler polynomials and combinatoric con volution sums of divisor functions with even indices. Abstr. Appl. Anal., pages Art. ID 289187, 6, 2014.
[59]	Jeanmougin, M., Charbonnier, C., Guedj, M. & Chiquet, J. Probabilistic Graphical Models for Genetics, Genomics and Postgenomics. , ():xxx, Oxford University Press, 2014.
[60]	Chazottes, J., Cuny, C., Dedecker, J., Fan, X. & Lemler, S. Limit theorems and inequalities via martingale methods. In ESAIM: Proceedings, 44():177-196, , 2014.
[61]	Laloé, D., Jaffrezic, F., Chiquet, J. & Gaultier, M. FLPCA: a fused-LASSO PCA-based approach to identify footprints of selection in differentiated populations from dense to SNP data: applications to human and cattle data. In Proceedings of the International Biometric Conference, Florence, Italy, ():, , 2014.
[62]	Kwemou, M. Réduction de dimension en régression logistique, application aux données ACTU-PALU. , 2014.
[63]	Lemler, S. Estimation for counting processes with high-dimensional covariates. , 2014.
[64]	Kwemou, M., Taupin, M.L., Dos Santos, S. & Le Hesran, J.Y. Variables Selection Strategies in large Socio-epidemiological Surveys. Identification of households at risk of having febrile episode in Dakar, Senegal. , 2014.
[65]	Matias, C. & Robin, S. Modeling heterogeneity in random graphs: a selective review. , 2014.
2013
[66]	Brito, I., Hupé, P., Neuvial, P. & Barillot, E. Stability-based comparison of class discovery methods for array-CGH profiles. PLoS One, 8(12):e81458, 2013.
[67]	Chelaifa, H., Chagué, V., Chalabi, S., Mestiri, I., Arnaud, D., Deffains, D., Lu, Y., Belcram, H., Huteau, V., Chiquet, J., Coriton, O., Just, J., Jahier, J. & Chaloub, B. Prevalence of gene expression additivity in genetically stable wheat allohexaploids. New Phytologist, 197(3):730-736, 2013.
[68]	Neuvial, P. Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators. Journal of Machine Learning Research, 14():1423\−1459, 2013.
[69]	crepey, S., Gerboud, R., Grbac, Z. & Ngor, N. Counterparty risk and funding: the four wings of the TVA. Int. J. Theor. Appl. Finance, 16(2):1350006-31, 2013.
[70]	Chevalier, E., Ly Vath, V. & Scotti, S. An optimal dividend and investment control problem under debt constraints. SIAM J. Financial Math., 4(1):297-326, 2013.
[71]	Kharroubi, I., Lim, T. & Ngoupeyou, A. Mean-variance hedging on uncertain time horizon in a market with a jump. Appl. Math. Optim., 68(3):413-444, 2013.
[72]	Chiquet, J. & Limnios, N. Stochastic Reliability and Maintenance Modeling. , 9():, Springer, 2013.
[73]	Chiquet, J., Mary-Huard, T. & Robin, S. Multi-trait genomic selection via multivariate regression with structured regularization. In Proceedings of the MLCB NIPS'13 workshop, ():, , 2013.
[74]	Dehman, A., Ambroise, C. & Neuvial, P. Incorporating linkage disequilibrium blocks in Genome-Wide Association Studies. In JOBIM proceeding 2013, ():, , 2013.
[75]	Gutierrez, P., Rigaill, G. & Chiquet, J. A fast homotopy algorithm for a large class of weighted classification problems. In Proceedings of the MLCB NIPS'13 workshop, South lake Thao, ():, , 2013.
[76]	Neuvial, P. Vers une médecine personnalisée grâce à la recherche en génomique. , 2013., (Variances Vol. 48 pp 31-33).
[77]	crepey, S., Z., G., Ngor, N. & Skovmand, D. A Lévy HJM multiple-curve model with application to CVA computation. , 2013.
[78]	Dehman, A. Incorporating Linkage Disequilibrium Blocks in Genome-Wide Association Studies. , 2013.
[79]	Pierre-Jean, M. Joint segmentation of total DNA copy number and allelic ratios in cancer samples. , 2013., (SMPGD'2013).
[80]	Pierre-Jean, M. Change-point detection with kernel methods : application to DNA copy number signals. , 2013., (45e Journées de Statistiques de la SFDS , Toulouse).
[81]	Pierre-Jean, M. Package R jointSeg : Segmentation de données génomiques en cancérologie. , 2013., (Rencontres R , Lyon).
2012
[82]	Jeanmougin, M. Statistical methods for robust analysis of transcriptome data by integration of biological knowledge.. , 2012.
[83]	Acuna, V., Birmelé, E., Cottret, L., Crescenzi, P., Jourdan, F., Lacroix, V., Marchetti-Spaccamela, A., Marinov, A., Vieira Milreu, P., Sagot, M.F. & Stougie, L. Telling Stories: Enumerating maximal directed acyclic graphs with a constrained set of sources and targets. Theoretical Computer Science, 457(2):1-9, 2012.
[84]	Ambroise, C. & Matias, C. New consistent and asymptotically normal parameter estimates for random graph mixture models. Journal of the Royal Statistical Society: Series B, 74(1):3-35, 2012.
[85]	Bouaziz, M., Paccard, C., Guedj, M. & Ambroise, C. SHIPS: Spectral Hierarchical Clustering for the Inference of Population Structure in Genetic Studies. PloS One, 7(10):e45685, 2012.
[86]	Chambaz, A., Neuvial, P. & van der Laan, M. Estimation of a non-parametric variable importance measure of a continuous exposure. Electronic Journal of Statistics, 6():1059-1099, 2012.
[87]	Chiquet, J., Grandvalet, Y. & Charbonnier, C. Sparsity with sign-coherent groups of variables via the cooperative-Lasso. The Annals of Applied Statistics, 6(2):795-830, 2012.
[88]	Coustet, B., Bouaziz, M., Dieudé, P., Guedj, M., Bossini-Castillo, L. & Et, A. Independent replication and metaanalysis of association studies establish TNFSF4 as a susceptibility gene preferentially associated with the subset of anticentromere-positive patients with systemic sclerosis.. J Rheumatol, 39(5):997-1003, 2012.
[89]	Didier, G., Corel, E., Laprevotte, I., Grossmann, A. & Devauchelle, C. Variable length local decoding and alignment-free sequence comparison. Theoretical Computer Science, 462():1-11, 2012.
[90]	Dillies, M., Rau, A., Aubert, J., Hennequet-Antier, C., Jeanmougin, M. & Servant, N. A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis. Briefings in Bioinformatics, xx():, 2012.
[91]	Guergnon, J., Dalmasso, C., Broet, P., Meyer, L., Westrop, S., Imami, N., Vicenzi, E., Morsica, G., Tinelli, M., Poma, B., Goujard, C., Potard, V., Gotch, F., Casoli, C., Cossarizza, A. & others, O. Single Nucleotide Polymorphism-defined Class-I and Class-III MHC genetic subregions contribute to natural long-term non progression in HIV infection. Journal of Infectious Diseases, 205(5):718-24, 2012.
[92]	Jacob, L., Neuvial, P. & Dudoit, S. More Power via Graph-Structured Tests for Differential Expression of Gene Networks. Annals of Applied Statistics, 6(2):561-600, 2012.
[93]	Latouche, P., Birmelé, E. & Ambroise, C. Variational Bayesian Inference and Complexity Control for Stochastic Block Models. Statistical Modelling, 12(1):93-115, 2012.
[94]	Le Floch, E., Guillemot, V., Lalanne, C., Frouin, V., Pinel, P., Trinchera, L., Tenenhaus, A., Moreno, A., Zilbovicius, M., Bourgeron, T., Dehaene, S., Thirion, B., Poline, J. & Duchesnay, E. Significant correlation between a set of genetic polymorphisms and a functional brain network revealed by feature selection and sparse Partial Least Squares. NeuroImage, 63(1):11-24, 2012.
[95]	Neuvial, P. & Roquain, E. On False Discovery Rate thresholding for classification under sparsity. Annals of Statistics, 40(5):2572-2600, 2012.
[96]	Ortiz-Estevez, M., Aramburu, A., Bengtsson, H., Neuvial, P. & Rubio, A. CalMaTe: A Method and Software to Improve Allele-Specific Copy Number of SNP Arrays for Downstream Segmentation. Bioinformatics, 28(13):1793-1794, 2012.
[97]	Prum, B. Cha\>ines de Markov et absorption ; application à l'algorithme de Fu en génomique. J. Société Fran\,caise de Statistique, 152 n°2():37-51, 2012.
[98]	Bouaziz, M., Jeanmougin, M. & Guedj, M. Multiple-testing in large-scale genetic studies. , ():, Bonin A, Pompanon F eds, Methods in Molecular Biology Series, Humana Press., 2012.
[99]	Jeanmougin, M. Improving gene signatures by the identification of differentially expressed modules in molecular networks : a local-score approach.. In JOBIM, ():103-111, , 2012., (Ambroise, Christophe and Bouaziz, M. and Guedj, M.).
[100]	Le Floch, E., Pinel, P., Tenenhaus, A., Trinchera, L., Poline, J., Frouin, V. & Duchesnay, E. Discovering associations in high dimensional imaging-genetics data: a comparison study of dimension reduction and regularisation strategies combined with Partial Least Squares. In 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI 2012), ():1503-1506, , 2012.
[101]	Brunel, N., Clairon, Q. & d'Alché Buc, F. Parametric Estimation of Ordinary Differential Equations with Orthogonality Conditions. , 2012.
[102]	Grandvalet, Y., Chiquet, J. & Ambroise, C. Sparsity by Worst-Case Quadratic Penalties. , 2012.
[103]	Kwemou, M. Non-asymptotic Oracle Inequalities for the Lasso and Group Lasso in high dimensional logistic model. , 2012.
[104]	Chevalier, E. & Ngoupeyou, A. American put option on a defaultable asset and option based portfolio insurance. , 2012.
[105]	Lim, T., y, , Sahut, J.M. & Scotti, S. Bid-ask spread modelling, a perturbation approach. , 2012.
[106]	Pierre-Jean, M. Segmentation de données génomiques en cancérologie. , 2012., (Journée annuelle du groupe Biopharmacie et Santé de la SFDS).
2011
[107]	Devauchelle, C. De l'art de résumer pour tenter de comprendre en génomique é volutive. , 2011.
[108]	Bouaziz, M., Ambroise, C. & Guedj, M. Accounting for Population Stratification in Practice: a Comparison of the Main Strategies Dedicated to Genome-Wide Association Studies. PLOS one, 6(12):, 2011.
[109]	Broet, P., Dalmasso, C., Tan, E., Alifano, M., Zhang, S., Wu, J., Lee, M., Regnard, J., Lim, W., Koong, H., Agasthian, T., Miller, L., Camilleri-Broet, S. & Tan, P. Genomic Profiles Specific to Patient Ethnicity in Lung Adenocarcinoma. Clinical Cancer Research, 17(11):3542-50, 2011.
[110]	Chiquet, J., Grandvalet, Y. & Ambroise, C. Inferring Multiple Graphical Structures. Statistics and Computing, 21(4):537-553, 2011.
[111]	Coustet, B., Dieudé, P., Guedj, M., Bouaziz, M., Avouac, J. & Et, A. C8orf13-BLK is a genetic risk locus for systemic sclerosis and has additive effects with BANK1: results from a large french cohort and meta-analysis.. Arthritis Rheum, 63(7):2091-2096, 2011.
[112]	Dalmasso, C. & Broët, P. Detection of chromosomal abnormalities using high resolution arrays in clinical cancer research. Journal of Biomedical Informatics, (doi:10.1016/j.jbi.2011.06.003):, 2011.
[113]	Dieudé, P., Bouaziz, M., Guedj, M., Riemekasten, G., Airo, P. & Al, E. Evidence of the contribution of the X chromosome to systemic sclerosis susceptibility: association with the functional IRAK1 196Phe/532Ser haplotype.. Arthritis Rheum, 63(12):3979-3987, 2011.
[114]	Jeanmougin, M., Guedj, M. & Ambroise, C. Defining a robust biological prior from Pathway Analysis to drive Network Inference.. J-SFdS, 152(2):, 2011.
[115]	Latouche, P., Birmelé, E. & Ambroise, C. Overlapping Stochastic Block Models with Application to the French Political Blogosphere. Annals of Applied Statistics, 5(1):309-336, 2011.
[116]	Olshen, A., Bengtsson, H., Neuvial, P., Spellman, P., Olshen, R. & Seshan, V. Parent-specific copy number in paired tumor-normal studies using circular binary segmentation. Bioinformatics, 27(15):2038-2046, 2011.
[117]	Ruggiero, D., Dalmasso, C., Nutile, T., Sorice, R., Dionisi, L., Aversano, M., Broët, P., Leutenegger, A., Bourgain, C. & Ciullo, M. Genetics of VEGF Serum Variation in Human Isolated Populations of Cilento: Importance of VEGF Polymorphisms.. PLoS One, 6(2):e16982, 2011.
[118]	Soon, W., Miller, L., Black, M., Dalmasso, C., Chan, X., Pang, B., Ong, C., Salto-Tellez, M., Desai, K. & Liu, E. Combined genomic and phenotype screening reveals secretory factor SPINK1 as an invasion and survival factor associated with patient prognosis in breast cancer. EMBO Molecular Medicine, x(x):, 2011.
[119]	Tisserand, M., Le Guennec, L., Touzé, E., Hess, A., Charbonnier, C., Devauchelles, A.D., Bracard, S., Mas, J.L., Méder, J.F. & Oppenheim, C. Prevalence of MRI-defined recent silent ischemia and associated bleeding risk with thrombolysis. Neurology, 76(15):1288-1295, 2011.
[120]	Neuvial, P., Bengtsson, H. & Speed, T. Handbook of Statistical Bioinformatics. , ():225-255, Springer, 2011.
[121]	Chiquet, J., Grandvalet, Y. & Charbonnier, C. Sparsity with sign-coherent groups of variables via the cooperative-Lasso. In Proceedings of SPARS'11, Edimburgh, ():, , 2011.
[122]	Chiquet, J. Réseaux biologiques. , 2011., (La gazette des mathématiciens No. 130 pp. 76--82).
[123]	Neuvial, P. Tests multiples en génomique. , 2011., (La gazette des mathématiciens No. 130 pp. 71-76).
[124]	Jeanmougin, M. Network inference using pathway analysis results as a prior information.. , 2011., (SMPGD'11).
2010
[125]	Ahmed, I., Dalmasso, C., Haramburu, F., Thiessard, F., Broët, P. & Tubert-Bitter, P. False discovery rate estimation for frequentist pharmacovigilance signal detection methods.. Biometrics, 66(1):301-309, 2010.
[126]	Bengtsson, H., Neuvial, P. & Speed, T. TumorBoost: Normalization of allele-specific tumor copy numbers from a single pair of tumor-normal genotyping microarrays. BMC bioinformatics, 11(1):245, 2010.
[127]	Brunel, N., Lapuyade, J. & Pieczynski, W. Modeling and unsupervised classification of multivariate hidden Markov chains with copulas. IEEE Transactions on Automatic Control, 55(2):338-349, 2010.
[128]	Charbonnier, C., Chiquet, J. & Ambroise, C. Weighted-Lasso for Structured Network Inference from Time Course Data. Statistical Applications in Genetics and Molecular Biology, 9(1):, 2010.
[129]	Corel, E., Pitschi, F., Laprevotte, I., Grasseau, G., Didier, G. & Devauchelle, C. MS4 - Multi-Scale Selector of Sequence Signatures: An alignment-free method for classification of biological sequences. BMC Bioinformatics, 11(406):, 2010., (doi:10.1186/1471-2105-11-406).
[130]	Idbaih, A., Dalmasso, C., Kouwenhoven, M., Jeuken, J., Carpentier, C., Gorlia, T., Kros, J., French, P., Teepen, J., Broët, P., Delattre, O., Mokhtari, K., Sanson, M., Delattre, J., Van den Bent, M. & oang-, . Genomic aberrations associated with outcome in anaplastic oligodendroglial tumors treated within the EORTC phase III trial 26951.. J Neurooncol, [Epub ahead of print]():, 2010.
[131]	Jeanmougin, M., de Reynies, A., Marisa, L., Paccard, C., Nuel, G. & Guedj, M. Should We Abandon the t-Test in the Analysis of Gene Expression Microarray Data: A Comparison of Variance Modeling Strategies. PLoS ONE, 5(9):e12336, 2010.
[132]	Pitschi, F., Devauchelle, C. & Corel, E. Automatic detection of anchor points for multiple sequence alignment. BMC Bioinformatics, 11(445):, 2010.
[133]	Taupin, M.L. Comment on : Identification and estimation of nonlinear models using two samples with nonclassical measurement errors. Journal of nonparametric statistics, 22():409-414, 2010.
[134]	Zanghi, H., Picard, F., Miele, V. & Ambroise, C. Strategies for Online Inference of Network Mixture. Annals of Applied Statistics, 4(2):687-714, 2010.
[135]	Zanghi, H., Volant, S. & Ambroise, C. Clustering based on random graph model embedding vertex features. Pattern Recognition Letters, 31(9):830-836, 2010.
[136]	, (eds). La démarche statistique. , (), Cépaduès, 2010.
[137]	Brunel, N. & d'Alché Buc, F. Flow-Based Bayesian Estimation of Nonlinear Differential Equations for Modeling Biological Networks. In Pattern Recognition in Bioinformatics, 6282(), Springer Berlin / Heidelberg, 2010.
[138]	Charbonnier, C., Chiquet, J. & Ambroise, C. Weighted-Lasso for Structured Network Inference for Time-Course data. In JOBIM'10, Montpellier, 2010.
[139]	Chiquet, J., Grandvalet, Y. & Ambroise, C. Inferring Multiple Graphical Structures. In Workshop MODGRAPHII, JOBIM'10, Montpellier, 2010.
[140]	Grandvalet, Y., Chiquet, J. & Ambroise, C. Inferring Multiple Regulation Networks. In Proceedings of the MLCB NIPS'10 Workshop, Vancouver, 2010.
[141]	Grandvalet, Y., Chiquet, J. & Ambroise, C. Inférence jointe de la structure de modèles graphiques gaussiens. In actes de CAp'10, Clermont-Ferrand, 2010.
[142]	Ngoupeyou, A. Optimisation des portefeuilles d\’actifs soumis au risque de défaut. , 2010.
[143]	Ngoupeyou, A. Optimisation des portefeuilles d'actifs soumis au risque de défaut. , 2010.
[144]	Jeanblanc, M., Matoussi, A. & Ngoupeyou, A. Robust utility maximization in a discontinuous filtration. , 2010.
2009
[145]	Ambroise, C., Chiquet, J. & Matias, C. Inferring sparse Gaussian graphical models with latent structure. Electronic Journal of Statistics, 3():205-238, 2009.
[146]	Chiquet, J., Limnios, N. & Eid, M. Piecewise deterministic Markov processes applied to fatigue crack growth modelling. Journal of Statistical Planning and Inference, 139(5):1657-1667, 2009.
[147]	Chiquet, J., Smith, A., Grasseau, G., Matias, C. & Ambroise, C. SIMoNe: Statistical Inference for MOdular NEtworks. Bioinformatics, 25(3):417-418, 2009.
[148]	Durot, C., Lebarbier, E. & Tocquet, A.S. Estimating the joint distribution of independent categorical variables via model selection. Bernoulli, 15(2):475-507, 2009.
[149]	Guedj, M., Célisse, A., Robin, S. & Nuel, G. kerfdr: A semi-parametric kernel-based approach to local FDR estimations.. BMC Bioinformatics, 10():84+, 2009.
[150]	Marenne, G., Dalmasso, C., Perdry, H., Génin, E. & Broët, P. Impaired performance of FDR-based strategies in whole-genome association studies when SNPs are excluded prior to the analysis.. Genet Epidemiol, 33(1):45-53, 2009.
[151]	Martin-Magniette, M.L. & Taupin, M.L. Semi-parametric estimation of the hazard function in a model with covariate measurement error.. ESAIM: Proba. and Stat., 13():87-114, 2009.
[152]	Oudot, T., Lesueur, F., Guedj, M., de Cid, R., McGinn, S., Heath, S., Foglio, M., Prum, B., Lathrop, M., Prud'homme, J. & Fischer, J. An association study of 22 candidate genes in psoriasis families reveals shared genetic factors with other autoimmune and skin disorders. J Invest Dermatol., 129(11):2637-45, 2009.
[153]	Picard, F., Miele, V., Daudin, J.J., Cottret, L. & Robin, S. Deciphering the connectivity structure of biological networks using MixNet. BMC Bioinformatics, 10(Suppl 6):S17, 2009.
[154]	Tian, Z., Rizzon, C., Du, J., Zhu, L., Bennetzen, J., Gaut, B., Jackson, S. & Ma, J. Do genetic recombination and gene density shape the pattern of DNA elimination in rice LTR-retrotransposons?. Genome Res., 19(12):2221-30, 2009.
[155]	Ambroise, C. & Dang, M. Data Analysis. , ():289-318, Wiley, 2009.
[156]	Latouche, P., Birmelé, E. & Ambroise, C. Advances in Data Analysis, Data Handling and Business Intelligence. , ():229-239, springer, 2009.
[157]	Chiquet, J., Charbonnier, C. & Ambroise, C. SIMoNe : Statistical Inference of Modular Network. In Workshop MODGRAPH, JOBIM'09, Nantes, 2009.
[158]	Latouche, P., Birmelé, E. & Ambroise, C. Uncovering overlapping clusters in biological networks. In Journées ouvertes en biologie, informatique et mathématiques (Jobim). Nantes, 2009.
[159]	Neuvial, P. & Bourguignon, P.Y. Problématiques statistiques à l'heure de la post-génomique. , 2009.
[160]	Jeanmougin, M. & Guedj, M. Should we abandon the t-test: a statistical comparison of 8 tests of differential gene expression. SMPGD, Paris.. , 2009.
2008
[161]	Taupin, M.L. Décon volution et estimation dans les modèles avec erreurs sur les variables.. , 2008.
[162]	Neuvial, P. Contributions to the statistical analysis of microarray data. , 2008.
[163]	Birmelé, E., Elati, M., Rouveirol, C. & Ambroise, C. Identification of functional modules based on transcriptional regulation structure. BMC Proceedings, 2((Suppl 4):S4):, 2008.
[164]	Bollet, M., Servant, N., Neuvial, P., Decraene, C., Lebigot, I., Meyniel, J., De Rycke, Y., Savignoni, A., Rigaill, G., Hupé, P., Fourquet, A., Sigal-Zafrani, B., Barillot, E. & Thiery, J.P. High-resolution mapping of DNA breakpoints to define true recurrences among ipsilateral breast cancers. J Natl Cancer Inst, 100(1):48-58, 2008.
[165]	Brunel, N. Parameter estimation of ODEs via nonparametric estimators. Electronic Journal of Statistics, 2():1242-1267, 2008.
[166]	Butucea, C. & Taupin, M.L. New M-estimators in semiparametric regression with errors-in-variables.. Annales de l'Institut Henri Poincaré, 44(3):393-421, 2008.
[167]	Chiquet, J. & Limnios, N. A Method to Compute the Transition Function of a Piecewise Deterministic Markov Process with Application to Reliability. Statistics and Probability Letters, 78(12):1397-1403, 2008.
[168]	Chiquet, J., Limnios, N. & Eid, M. Modelling and Estimation the Reliability of Stochastic Dynamical Systems with Markovian Switching. Reliabilty Engineering and System Safety, 93(12):1801-1808, 2008.
[169]	Ciullo, M., Nutile, T., Dalmasso, C., Sorice, R., Bellenguez, C., Colonna, V., Persico, M. & Bourgain, C. Identification and replication of a novel obesity locus on chromosome 1q24 in isolated populations of Cilento.. Diabetes, 57(3):783-790, 2008.
[170]	Comte, F., Dedecker, J. & Taupin, M.L. Adaptive density decon volution with dependent inputs.. Math. Methods Statist., 17(2):87-112, 2008.
[171]	Comte, F., Dedecker, J. & Taupin, M.L. Adaptive density estimation for general ARCH models.. Econometric Theory, 24(6):1628-1662, 2008., (http://journals.cambridge.org/action/displayJournal?jid=ECT).
[172]	Dalmasso, C., Génin, E. & Trégouet, D. A weighted-Holm procedure accounting for allele frequencies in genomewide association studies.. Genetics, 180(1):697-702, 2008.
[173]	Dalmasso, C., Carpentier, W., Meyer, L., Rouzioux, C., Goujard, C., Chaix, M., Lambotte, O., Avettand-Fenoel, V., Le Clerc, S., Denis de Senneville, L., Deveau, C., Boufassa, F., Debré, P., Delfraissy, J. & ro, . Distinct genetic loci control plasma HIV-RNA and cellular HIV-DNA levels in HIV-1 infection: the ANRS Genome Wide Association 01 study.. PLoS One, 3(12):e3907, 2008.
[174]	Daudin, J.J., Picard, F. & Robin, S. A mixture model for random graphs. Statist. Comput., 18(2):, 2008.
[175]	Degtyarenko, K., Matos, P., Ennis, M., Hastings, J., Zbinden, M., McNaught, A., Alcantara, R., Darsow, M., Guedj, M. & Ashburner, M. ChEBI: a database and ontology for chemical entities of biological interest. Nucleic acids Research, 36():D344-D350, 2008.
[176]	Dieude, P., Guedj, M., Wipff, J., Avouac, J., Hachulla, E., Diot, E., Granel, B., Sibilia, J., Cabane, J., Meyer, O., Mouthon, L., Kahan, A., Boileau, C. & Allanore, Y. The PTPN22 620W allele confers susceptibility to Systemic Sclerosis: a large case control study among European Caucasians and meta-analysis. Rheumatism and Arthritis, 58():2183-2188, 2008.
[177]	Dieude, P., Guedj, M., Wipff, J., Avouac, J., Fajardy, I., Diot, E., Granel, B., Sibilia, J., Cabane, J., Mouthon, L., Cracowski, J., Carpentier, P., Hachulla, O., Kahan, A., Boileau, C. & Allanore, Y. Association between the IRF5 rs2004640 functional polymorphism and systemic sclerosis: A new perspective for pulmonary fibrosis. Arthritis Rheumatoid, 60():225-233, 2008.
[178]	Forner, K., Lamarine, M., Guedj, M., Dauvillier, J. & Wojcik, J. Universal false discovery rate estimation methodology for genome-wide association studies. Human Heredity, 65():183-194, 2008.
[179]	Guedj, M., Nuel, G. & Prum, B. A note on allelic tests in case-control association studies. Annals of Human Genetics, 72():407-409, 2008.
[180]	Guedj, M., Bourillon, A., Combadières, C., Rodero, M., Dieude, P., Descamps, V., Dupin, N., Wolkenstein, P., Aegerter, P., Lebbe, C., Basset-Seguin, N., Prum, B., Saiag, P., Grandchamp, B. & Soufir, N. Variants of the MATP/SLC45A2 gene are protective for melanoma in the French population. Human Mutation, 29():1154-1160, 2008.
[181]	Neuvial, P. Asymptotic properties of false discovery rate controlling procedures under independence. Electron. J. Stat., 2():1065-1110, 2008.
[182]	Zanghi, H., Ambroise, C. & Miele, V. Fast Online Graph Clustering via Erdös Renyi Mixture. Pattern Recognition, 41(12):3592-3599, 2008.
[183]	Chiquet, J. & Limnios, N. Mathematical methods in survival analysis, reliability and quality of life. , ():, Wiley, 2008.
2007
[184]	Guedj, M. Méthodes statistiques pour l'analyse des données génétiques d'association à grande échelle. , 2007.
[185]	Vescovo, L. Outils et méthodes pour la classification pyramidale des données biologiques. , 2007.
[186]	Aschard, H., Guedj, M. & Demenais, F. A multiple-marker two-step approach for genome-wide association studies. BMC Proceedings, 1(S134):, 2007.
[187]	Avalos, M., Grandvalet, Y. & Ambroise, C. Parsimonious additive models. CSDA, 51(6):2851-2870, 2007.
[188]	Comte, F. & Taupin, M.L. Adaptive estimation in a nonparametric regression model with errors-in-variables. Statist. Sinica, 17(3):1065-1090, 2007.
[189]	Comte, F., Rozenholc, Y. & Taupin, M.L. Finite sample penalization in adaptive density decon volution.. Journal of Statistical Computation and Simulation, 77():977-1000, 2007.
[190]	Dalmasso, C., Bar-Hen, A. & Broët, P. A constrained polynomial regression procedure for estimating the local False Discovery Rate.. BMC Bioinformatics, 8():229, 2007.
[191]	Dalmasso, C., Pickrell, J., Tuefferd, M., Génin, E., Bourgain, C. & Broët, P. A mixture model approach to multiple testing for the genetic analysis of gene expression.. BMC Proc, 1 Suppl 1():S141, 2007.
[192]	Didier, G., Debomy, L., Pupin, M., Zhang, M., Grossmann, A., Devauchelle, C. & Laprevotte, I. Comparing sequences without alignments: application to HIV/SIV subtyping. BMC Bioinformatics, 8():1, 2007.
[193]	Elati, M., Neuvial, P., Bolotin-Fukuhara, M., Barillot, E., Radvanyi, F. & Rouveirol, C. LICORN: LearIng COoperative Regulation Networks. Bioinformatics, 23(18):2407-2414, 2007.
[194]	Garnier, S., Dieudé, P., Michou, L., l, , Bardin, T., Prum, B. & Cornélis, F. IRF5 rs2004640-T allele, the new genetic factor for systemic lupus erythematosus, is not associated with rheumatoid arthritis. Ann. Rheum. Dis., 66():828-831, 2007.
[195]	Gaut, B., Wright, S., Rizzon, C., Dvorak, J. & Anderson, L. Recombination: an underappreciated factor in the e volution of plant genomes.. Nat Rev Genet., 8():77-84, 2007.
[196]	Guedj, M., Della-Chiesa, E., Picard, F. & Nuel, G. Computing power in case-control association studies through the use of quadratic approximations: application to meta-statistics. Annals of Human Genetics, 71():262-270, 2007.
[197]	Jacq, L., Garnier, S., Dieudé, P., Michou, L., l, , Prum, B., Bardin, T. & Cornélis, F. The ITGAV rs3738919-C allele is associated with and linked to rheumatoid arthritis in the European Caucasian population: a family-based study. Arthritis Research \& Therapy, 9(R63):, 2007.
[198]	Martin, L., Woo, J., Avery, C., Chen, H., North, K., Au, K., Broët, P., Dalmasso, C., Guedj, M., Holmans, P., Huang, B., Kuo, P., Lam, A., Li, H., Manning, A., Nikolov, I., Sinha, R. & Shi, J. Multiple testing in the genomics era: findings from Genetic Analysis Workshop 15, Group 15.. Genet Epidemiol, 31 Suppl 1():S124-S131, 2007.
[199]	Michou, L., Lasbleiz, S., l, , Prum, B., Bardin, T., Dieude, P. & Cornélis, F. Linkage proof for PTPN22, the new rheumatoid arthritis susceptibility gene, a human autoimmunity gene. Proc. Natl. Acad. Sci. USA, 104():1649-1654, 2007.
[200]	Picard, F., Robin, S., Lebarbier, E. & Daudin, J.J. A segmentation/clustering model for the analysis of array CGH data. Biometrics, 63(3):758-766, 2007.
[201]	Quach, M., Brunel, N. & d'Alché Buc, F. Estimating parameters and hidden variables in nonlinear state-space models based on ODEs for biological networks. Bioinformatics, 23():3209-3216, 2007.
[202]	Same, A., Ambroise, C. & Govaert, G. An online Classification EM algorithm based on the mixture model. Statistics and Computing, 17(3):209-218, 2007.
[203]	, (eds). Analyse Statistique des Séquences Biologiques. , (), Hermes Sciences, 2007.
[204]	Chiquet, J., Limnios, N. & Eid, M. Modelling the reliability of degradation processes through Markov renewal theory. In Proceedings of ESREL - Safety and Reliability Conference, 2007.
[205]	Corel, E., El Feghali, R., Gérardin, F., Hoebeke, M., Nadal, M., Grossmann, A. & Devauchelle, C. Local Similarities and Clustering of Biological Sequences : New Insights from N-local Decoding. In The First International Symposium on Optimization and Systems Biology (OSB 2007), Lecture Notes in Operations Research(7):189-195, World Publishing, 2007.
[206]	Corel, E., El Feghali, R., Gérardin, F., Hoebeke, M., Nadal, M., Louis, A., Laprevotte, I., Grossmann, A. & Devauchelle, C. Local Similarities and Clustering of Biological Sequences. In Actes de JOBIM 2007, pages 69-71, 2007.
[207]	Guedj, M., Wojcik, J. & Nuel, G. Catching Local Replications: Use of the Local Score in Replicated Association Studies. In Proceedings of EMGM 2007 in Annals of Human Genetics, pages 550-559, 2007.
[208]	Lebarbier, E., Picard, F., Bundiska, E. & Robin, S. Joint segmentation of multivariate Gaussian processes using mixed linear models. In ASMDA 2007, 2007.
[209]	Picard, F., Daudin, J.J., Koskas, M., Schbath, S. & Robin, S. Assessing the exceptionality of network motifs. In Jobim 2007, 2007.
[210]	Chiquet, J. Modélisation et estimation des processus de dégradation avec application en fiabilité des structures. , 2007.
[211]	Aschard, H., Guedj, M. & Demenais, F. A multiple-marker two-step approach to genome-wide association studies. , 2007., (Oral presentation at the EMGM 2007, Heidelberg (Germany)).
[212]	Guedj, M. Local Replication: a local-score based approach to replicated association studies. , 2007., (Oral Presentation at the IGES 2007, York (UK)).
[213]	Guedj, M., Celisse, A., Robin, S. & Nuel, G. kerfdr: a semi-parametric kernel-based estimation of the local FDR. , 2007., (Poster ar IGES 2007, York (UK)).
[214]	Nuel, G. & Guedj, M. Statistical methods in genome-wide association studies. , 2007., (Colloque Génétique, Bioinformatique et Puces, Ermenonville (France)).
[215]	Wojcik, J., Guedj, M. & Forner, K. Exact p-value computation and exact False Discovery Rate estimation for genome-wide association studies. , 2007., (Poster at the HUGO HGM2007, Montreal (Canada)).
2006
[216]	Anderson, L., Lai, A., Stack, S., Rizzon, C. & Gaut, B. Uneven distribution of expressed sequence tag loci on maize pachytene chromosomes.. Genome Res., 16():115-22, 2006.
[217]	Bar-Hen, A., Broët, P., Dalmasso, C., Daudin, J. & Robin, S. False discovery rate.. Encyclopedia of Biopharmaceutical Statistics: Second Edition., 1():1-9, 2006.
[218]	Chiquet, J. & Limnios, N. Estimating stochastic dynamical systems driven by a continuous-time jump Markov process. Methodology and Computing in Applied Probability, 8():431-447, 2006.
[219]	Comte, F., Rozenholc, Y. & Taupin, M.L. Penalized contrast estimator for adaptive density decon volution. Canad. J. Statist., 34(3):431-452, 2006.
[220]	Cord, A., Ambroise, C. & Cocquerez, J. Feature Selection in Robust Clustering based on Laplace Mixture. Pattern Recognition Letters, 27(6):627-635, 2006.
[221]	Didier, G., Laprevotte, I., Pupin, M. & Hénaut, A. Local decoding of sequences and alignment-free comparison. Journal of Computational Biology, 13(8):1465-1476, 2006.
[222]	Drouaud, J., Camilleri, C., Bourguignon, P., l, , Prum, B., Quesneville, H. & Mezard, C. Free Full Text Variation in crossing-over rates across chromosome 4 of Arabidopsis thaliana reveals the presence of meiotic recombination hot spots.. Genome Research, 16():106-114, 2006.
[223]	Guedj, M., Wojcik, J., Della-Chiesa, E., Nuel, G. & Forner, K. A fast, unbiased and exact allelic test for case-control association studies. Human Heredity, 61():210-221, 2006.
[224]	Guedj, M., Robelin, D., Hoebeke, M., Lamarine, M., Wojcik, J. & Nuel, G. Detecting Local High-Scoring segments: a first-stage approach for genome-wide association studies. Stat App Genet Mol Bio, 5():1-16, 2006.
[225]	La Rosa, P., Viara, E., Hupé, P., Pierron, G., Liva, S., Neuvial, P., Brito, I., Lair, S., Servant, N., Robine, N., Manié, E., Brennetot, C., Janoueix-Lerosey, I., Raynal, V., Gruel, N. & Others, O. VAMP: visualization and analysis of array-CGH, transcriptome and other molecular profiles. Bioinformatics, 22(17):2066-2073, 2006.
[226]	Liva, S., Hupé, P., Neuvial, P., Brito, I., Viara, E., La Rosa, P. & Barillot, E. CAPweb: a bioinformatics CGH array Analysis Platform. Nucleic Acids Res, 34(Web Server issue)(-):477-481, 2006.
[227]	Matias, C., Schbath, S., Birmelé, E., Daudin, J.J. & Robin, S. Networks motifs: mean and variance for the count. REVSTAT, 4(1):31-51, 2006.
[228]	Michou, L., Croiseau, P., l, , Prum, B., Clerget, F. & Cornélis, F. Confirmation of the Shared Epitope Allele Classification. Arthritis Research and Therapy, 28():79-, 2006.
[229]	Neuvial, P., Hupé, P., Brito, I., Liva, S., Manié, E., Brennetot, C., Radvanyi, F., Aurias, A. & Barillot, E. Spatial normalization of array-CGH data.. BMC Bioinformatics, 7(1):264, 2006.
[230]	Nicolas, P., Tocquet, A.S., Miele, V. & Muri, F. A Reversible Jump Markov Chain Monte-Carlo Algorithm for Bacterial Promoter Motifs Discovery. Journal of Computational Biology, 13(3):651-667, 2006.
[231]	Rizzon, C., Ponger, L. & Gaut, B. Striking similarities in the genomic distribution of tandemly arrayed genes in Arabidopsis and rice.. PLoS Comput Biol., 2(9):e115, 2006.
[232]	Same, A., Ambroise, C. & Govaert, G. A classification EM algorithm for binned data. Computational Statistics and Data Analysis, 51(2):466-480, 2006.
[233]	Zhu, X., Ambroise, C. & McLachlan, G. Selection bias in working with the top genes in supervised classification of tissue samples. Statistical Methodology, 3():29-41, 2006.
[234]	Mary-Huard, T., Picard, F. & Robin, S. Mathematical and computational methods in biology. Chapter Introduction statistical methods for microarray data analysis. , ():, , 2006.
[235]	Prum, B. & Tocquet, A.S. The use of Markov Models and Hidden Markov Models in genomics. In Mathematical and computational methods in biology, (), Herman, 2006.
[236]	Chiquet, J., Limnios, N. & Eid, M. Modeling and Estimating the Reliability of Stochastic Dynamical Systems with markovian switching. In ESREL 2006 - Safety and Reliability for managing Risks, 2006.
[237]	Daudin, J.J., Lacroix, V., Picard, F., Robin, S. & Sagot, M.F. Uncovering structure in biological networks. In JOBIM 2006, 2006.
[238]	Guedj, M., Della-Chiesa, E., Forner, K., Wojcik, J. & Nuel, G. Which alternatives to the biased allelic test in case-control association studies. In Proceedings of IGES 2006 in Genetic Epidemiology, 31:450-513, 2006.
[239]	Mariadassou, M., Daudin, J., Lacroix, V., Miele, V., Picard, F., Robin, S. & Sagot, M. Uncovering structure in biological networks. In Proceedings of RIAMS, 2006.
[240]	Miele, V., Vaillant, C., D'Aubenton, Y., Robelin, D., Prum, B. & Thermes, C. DNA sequence drives nucleosome occupancy of yeast promoters. In Proceeding of JOBIM, 2006.
[241]	Picard, F., Daudin, J.J., Schbath, S. & Robin, S. Assessing the exceptionality of network motifs. In Réseaux d'interactions : analyse, modélisation et simulation (RIAMS), 2006.
[242]	Prum, B. Búsqueda automática de los genes. , 2006.
[243]	Prum, B. Las matemáticas en la búsqueda de un gen responsable de cáncer. , 2006.
[244]	Prum, B. Statistique en Génomique. , 2006.
[245]	Aschard, H., Guedj, M. & Demenais, F. A three-step approach to genome-wide association studies.. , 2006., (Poster at GAW15, Tampa (USA)).
[246]	Della-Chiesa, E., Guedj, M. & Nuel, G. Should we combine association statistics in case-control association studies. , 2006., (Poster at EMGM 2006, Cardiff (UK)).
[247]	Guedj, M., Aschard, H. & Demenais, F. A three-step approach to genome-wide association studies.. , 2006., (GAW15 novel methods session, Tampa (USA)).
[248]	Guedj, M., Aschard, H., Wojcik, J., Nuel, G. & Demenais, F. Local Score statistic: picking-up candidates genomic regions in genome-wide association studies. , 2006., (Poster at the GAW15, Tampa (USA)).
[249]	Guedj, M., Della-Chiesa, E., Forner, K., Wojcik, J. & Nuel, G. Which alternatives to the biased allelic test in case-control association studies. , 2006., (Poster at EMGM 2006, Cardiff (UK)).
2005
[250]	Avalos, M., Grandvalet, Y. & Ambroise, C. Discrimination par modèles additifs parcimonieux. Revue d'Intelligence Artificielle, 19():661-682, 2005.
[251]	Bekaert, M., Richard, H., Prum, B. & Rousset, J. Identification of programmed translational -1 frameshifting sites in the genome of Saccharomyces cerevisiae. Genome Research, 10():1411-1420, 2005.
[252]	Brunel, N. & Pieczynski, W. Unsupervised signal restoration using hidden Markov chains with copulas. Signal Processing, 85():2304-2315, 2005.
[253]	Dalmasso, C., Broët, P. & Moreau, T. A simple procedure for estimating the false discovery rate.. Bioinformatics, 21(5):660-668, 2005.
[254]	Dalmasso, C. & Broët, P. Procédures destimation du false discovery rate basées sur la distribution des degrés de signification.. Journal de la Société fran\,caise de Statistique, 146(1):, 2005.
[255]	Devauchelle, C., Dress, A., Grossmann, A. & Hénaut, A. Constructing Hierarchical Set Systems. Annals of Combinatorics, 8(4):441-456, 2005.
[256]	Dieude, P., Garnier, S., Michou, L., l, , Prum, B. & Cornelis, F. Rheumatoid arthritis seropositive for the rheumatoid factor is linked to the protein tyrosine phosphatase nonreceptor 22-620W allele. Arthritis Research \& Therapy, 7():, 2005.
[257]	Picard, F., Robin, S., Lavielle, M., Vaisse, C. & Daudin, J.J. A statistical approach for array CGH data analysis. BMC Bioinformatics, 6(1):1-14, 2005.
[258]	Tezenas du Montcel, S., Michou, L., l, , Prum, B., Cornelis, F. & Clerget, F. New classification of HLA-DRB1 alleles support the shared epitope hypothesis of rheumatoid arthritis susceptibility. Arthritis Rheumatism, 52(1063-1068):, 2005.
[259]	Uemura, O., Okada, Y., Ando, H., Guedj, M., Higashijima, S., Shimazaki, T., Chino, N., Okano, H. & Okamoto, H. Comparative functional genomics revealed conservation and diversification of three enhencers of the isl1 gene for moter and sensory neuro-specific expression. Developmental Biology, 278():587-606, 2005.
[260]	Weyer-Menkoff, J., Devauchelle, C., Grossmann, A. & Grunewald, S. Integer linear programming as a tool for constructing trees from quartet data. Comput Biol Chem, 29(3):196-203, 2005.
[261]	Ambroise, C. Modèles pour l'apprentissage statistique à partir de données complexes, mémoire d'habilitation à diriger des recherches. , 2005.
[262]	Jones, L., Ng, S., Ambroise, C., Monico, K. & McLachlan, G. Use of microarray data via model-based classification in the study and prediction of survival from lung cancer. , ():163-173, Springer, 2005.
[263]	Guedj, M. & Nuel, G. Local Score statistics: application to large scale association studies. In Proceedings of IGES 2005 in Genetic Epidemiology, 29:234-298, 2005.
[264]	Picard, F., Robin, S., Lebarbier, E. & Daudin, J.J. A Segmentation-Clustering problem for the analysis of array CGH data. In ASMDA 2005, 2005.
[265]	Sujka, N., Govaert, G. & Ambroise, C. Interpretable Clustering via Model-Based Divisive Hierarchical Classification. In 29th Annual GFKL (Gesellschaft für Klassifikation), 2005.
[266]	Prum, B. Trouver les gènes coupables. , 2005.
[267]	Brunel, N. Sur quelques extensions des chaines de Markov cachées et couples. Applications à la segmentation de signaux radar.. , 2005.
[268]	Guedj, M. & Nuel, G. Local Score statistics: application to large scale association studies. , 2005., (Poster at IPG, Lyon (France)).
2004
[269]	Broët, P., Lewin, A., Richardson, S., Dalmasso, C. & Magdelenat, H. A mixture model-based strategy for selecting sets of genes in multiclass response microarray experiments.. Bioinformatics, 20(16):2562-2571, 2004.
[270]	Dalmasso, C., Broët, P. & Moreau, T. [Multiple comparison procedures: principles, limits. Applications to microarray phenotype-genotype analysis].. Rev Epidemiol Sante Publique, 52(6):523-537, 2004.
[271]	Dieudé, P., Osorio, J., l, , Prum, B. & Cornelis, F. A TNFR1 genotype with a protective role in familial rheumatoid arthritis.. Arthritis Rheumatism, 50():413-419, 2004.
[272]	Matias, C. & Taupin, M.L. Minimax estimation of linear functionals in the con volution model. Math. Methods Statist., 13(3):282-328, 2004.
[273]	Osorio , J., Bukulmez, H., Petit-Teixeira, E., Michou, L., l, , Prum, B., Olson, J. & Cornélis, F. Dense genome-wide linkage analysis of rheumatoid arthritis including covariates. Arthritis Rheumatism, 50():2557-2565, 2004.
[274]	, (eds). Analyzing microarray gene expression data. , (), Wiley, 2004.
[275]	Risler, J., Louis, A., Mohseni-Zadeh, S., Brézellec, P. & Diaz-Lazcoz, Y. Les comparaisons massives de séquences protéiques. , ():115-129, Editions INRA, 2004.
[276]	Avalos, M., Grandvalet, Y. & Ambroise, C. Généralisation du lasso aux modèles additifs.. In XXXVIèmes Journées de Statistique, 2004.
[277]	Avalos, M., Grandvalet, Y. & Ambroise, C. Penalized additive logistic regression for cardiovascular risk prediction.. In International Conference on Statistics in Health Sciences, 2004.
[278]	Charkaoui, N., Dubuisson, B., Ambroise, C. & Millemann, S. Decision tree classifer for vehicle failure isolation. In Fifth International Conference on Data Mining, Text Mining and their Business Applications, 2004.
[279]	Hamdan, H., Govaert, G., Ambroise, C. & Hervé, C. A mixture model approach for acoustic emission control of pressure equipment. In 5th International Conference on Acoustical and Vibratory Surveillance Methods and Diagnostic Techniques, 2004.
[280]	Prum, B., Bourguignon, P., Guedj, M., Képès, F., Matias, C., Nuel, G. & Omont, N. La recherche de gènes impliqués dans une maladie, collaboration avec Genset-Serono. , 2004., (Matapli 74 p23-41).
[281]	De Matos, P., Ennis, M., Darsow, M., Degtyarenko, K., Guedj, M., Rijnbeek, M., Kretschmann, E., Binns, D., Hermjakob, H. & Apweiler, R. ChEBI : Chemical Entities of Biological Interest. , 2004., (Poster at ISMB/ECCB 2004, Glasgow (Scotland)).
[282]	Guedj, M. & Nuel, G. Déséquilibre de liaison et association à la maladie dans les études de SNPs cas-témoins à échelle. , 2004., (Les industriels et les mathématiciens se parlent, IHP, Paris).
2003
[283]	Durot, C. & Tocquet, A.S. On the distance between the empirical process and its concave majorant in a monotone regression framework. Ann. I. H. Poincaré, Probabilités \\& Statistique, 39():217-240, 2003.
[284]	Goldstein, D., Fondrat, C., Muri, F., Nuel, G., Saragueta, P., Tocquet, A.S. & Prum, B. Short inverse complementary amino-acid sequences generate protein complexity. C. R. Acad. Sci. Biologie, 326():339-348, 2003.
[285]	Laprevotte, I. & Hénaut, A. The new variant of the Creutzfeldt-Jakob disease accounts for no relative increase of the Creutzfeldt-Jakob disease mortality rate in the United Kingdom; this fits ill with the new variant being the consequence of consumption of food infected with .... BMC Public Health, 3():25, 2003.
[286]	Lerat, E., Rizzon, C. & Biémont, C. Sequence divergence within transposable element families in the Drosophila melanogaster genome.. Genome Res., 13():1889-96, 2003.
[287]	Leuteneger, A., Prum, B., Genin, E., Verny, C., Lemainque, A., Clerget, F. & Thompson, E. Estimation of the inbreeding coefficient through use of genomic data. Am. J. Hum. Genet., 73():516-523, 2003.
[288]	Rizzon, C., Martin, E., Marais, G., Duret, L., Ségalat, L. & Biémont, C. Patterns of selection against transposons inferred from the distribution of Tc1, Tc3, and Tc5 insertions in the mut-7 line of the nematode Caenorhabditis elegans.. Genetics, 165():1127-1135, 2003.
[289]	Boyarinov, R.N., Chubarikov, V.N. & Ngo ngo, I.S. Asymptotic formulas for fractional moments of special sums. Chebyshevski\u\i\ Sb., 4(4(8)):173-183, 2003.
[290]	Ambroise, C. & Dang, M. Analyse de données. , ():100-121, Hermès, 2003.
[291]	Ambroise, C. De l'importance du biais dans la sélection de gènes discriminants pour la prédiction de type de tumeurs. In Plateforme AFIA 2003, 2003.
[292]	Ambroise, C. Comments on Incremental Model Based Clustering for Large Data Sets with Small Clusters by Chris Fraley, Adrian Raftery, Ron Wehrens. In 54th session of the International Statistical Institute, 2003.
[293]	Avalos, M., Grandvalet, Y. & Ambroise, C. Regularization Methods for Additive Models. In Advances in Intelligent Data Analysis V, Lecture Notes in Computer Science (LNCS), 2810:509-520, springer, 2003.
[294]	McLachlan, G. & Ambroise, C. Selection bias in gene extraction in tumour classification. In 16th Australian Statistical Conference, 2003.
[295]	Same, A., Ambroise, C. & Govaert, G. A mixture model approach for binned data clustering. In Advances in Intelligent Data Analysis V, Lecture Notes in Computer Science (LNCS), 2810:265-274, springer, 2003.
[296]	Cord, M. & Ambroise, C. Techniques d'apprentissage pour l'indexation et la recherche d'images par le contenu. , 2003.
[297]	Guedj, M., Uemura, O. & Okamoto, H. Identifying regulatory elements by cross-species comparison with zebrafish. , 2003., (Oral presentation at the BSI of RIKEN summer school 2003, Tokyo (Japan)).
[298]	Guedj, M. A cognitive approach of the immune system. , 2003., (Poster at the BSI of RIKEN summer school 2003, Tokyo (Japan)).
2002
[299]	Ambroise, C. & McLachlan, G. Selection Bias in Gene Extraction in Tumour Classification on Basis of Microarray Gene Expression Data. PNAS, 99(10):6562-6566, 2002.
[300]	Didier, G., Laprevotte, I. & Pupin, M. Codage de séquences. Gazette des Mathématiciens, (92):27-39, 2002.
[301]	Dieudé, P., Petit, E., l, , Prum, B. & Cornélis, F. Association Between Tumor Necrosis Factor Receptor II and Familial, but Not Sporadic, Rheumatoid Arthritis. Arthritis Rheumatism, 46():2039-2044, 2002.
[302]	Nicolas, P., Bize, L., Muri, F., Hoebeke, M., Rodolphe, F., Ehrlich, S., Prum, B. & Bessières, P. Mining Bacillus Subtilis chromosome heterogeneities using hidden Markov models. Nucleic Acids Research, 30():1418-1426, 2002.
[303]	Rizzon, C., Marais, G., Gouy, M. & Biémont, C. Recombination rate and the distribution of transposable elements in the Drosophila melanogaster genome.. Genome Res., 12():400-407, 2002.
[304]	Ambroise, C. & Govaert, G. A Mixture Model Approach to Datacube Clustering (Invited). In 26th Annual GFKL (Gesellschaft für Klassifikation), 2002.
[305]	Same, A., Govaert, G. & Ambroise, C. Classification de données discrètisées. In 34ème journées de statistiques, 2002.
[306]	Prum, B. Trouver un gène responsable du cancer. , 2002.
[307]	Elie, R., Frachot, A., Georges, P. & Neuvial, P. A Model of Prepayment for the French Residential Loan Market. , 2002.
[308]	Miele, V., Nicolas, N., Muri, F. & Tocquet, A.S. Sélection de modèles de Markov cachés et hétérogénéité des séquences 3'UTR du génome humain. , 2002., (JOBIM poster).
2001
[309]	Ambroise, C. & Grandvalet, Y. Prediction of ozone peaks by mixture model. Ecological Modeling, 245():275-289, 2001.
[310]	Comte, F. & Taupin, M.L. Semiparametric estimation in the (auto)-regressive \beta-mixing model with errors-in-variables. Math. Methods Statist., 10(2):121-160, 2001.
[311]	Devauchelle, C., Grossmann, A., Hénaut, A., Holschneider, M., Monnerot, M., Risler, J.L. & Torrésani, B. Rate matrices for analysing large families of protein sequences. Journal of Computational Biology, 8(4):381-399, 2001.
[312]	Durot, C. & Tocquet, A.S. Goodness of fit test for isotonic regression. ESAIM, Probabilités \\& Statistique, 5():119-140, 2001.
[313]	Laprevotte, I., Pupin, M., Coward, E., Didier, G., Terzian, C., Devauchelle, C. & Hénaut, A. HIV-1 and HIV-2 LTR nucleotide sequences: assessment of the alignment by N-block presentation, retroviral signatures of overrepeated oligonucleotides, and a probable important role of scrambled stepwise duplications/deletions in molecular e volution. Molecular Biology and Evolution, 18():1231-1245, 2001.
[314]	Muri, F. & Prum, B. Une approche statistique de l'analyse des génomes. La Gazette des Mathématiciens, 89():63-98, 2001.
[315]	Nuel, G., Robin, S. & Baril, C. Predicting distances using a linear model: the case of varietal distinctness. Journal of Applied Statistics, 28(5):607-627, 2001.
[316]	Taupin, M.L. Semi-parametric estimation in the nonlinear structural errors-in-variables model. Ann. Statist., 29():66-93, 2001.
[317]	Tocquet, A.S. Likelihood based inference in nonlinear regression models using the p* and R* approach. Scandinavian Journal of Statistics, 28():429-443, 2001.
[318]	Ambroise, C. Intégration de données qualitatives et quantitatives par les modèles de mélange(Invited). In Journée Didactique IS2 sur les Mélanges de Lois de Probabilités, 2001.
[319]	Ambroise, C., Denoeux, T., Govaert, G. & Smets, P. Learning from an imprecise teacher: probabilistic and evidential approaches. In Proceeding of ASMDA 2001, 2001.
[320]	Ambroise, C. & Govaert, G. Clustering and models. In Classification, Automation and New Media. Proceedings of the 24th Annual Conference of the Gesellshaft für Klassification, pages 1-16, springer, 2001.
[321]	Ambroise, C. & Govaert, G. Modèle de mélange et cartes de Kohonen (Invited). In Séminaire Méthodes Neuronales organisé par la Société Francaise de Statistique, 2001.
[322]	Ambroise, C. & Govaert, G. A mixture model approach for classifying doubtful labeled data. In Mixtures 2001, Recent Developments on Mixture Modelling, 2001.
[323]	Grandvalet, Y., D'alché-Buc, F. & Ambroise, C. Boosting Mixture Models for semi-supervised tasks. In ICANN 2001, pages 41-48, springer, 2001.
[324]	Nuel, G., Baril, C. & Robin, S. Varietal distinctness assisted by molecular markers: a methodological approach. In Acta Horiculturae, Proceedings of the MMH congresspages 65-71, 2001.
[325]	Prum, B. La recherche automatique de gènes. , 2001.
[326]	Prum, B. Mathématiques et biologie. , 2001.
2000
[327]	Goldstein, D., Muri, F., Saragueta, P. & Prum, B. Inverse Complementary homologues of cysteine signatures. CRAS Sciences de la Vie, 323(2):167-172, 2000.
[328]	Ambroise, C. & Govaert, G. Clustering by Maximizing a Fuzzy Classification Maximum Likelihood Criterion. In Compstat 2000, Prodeedings in Computational Statistics, 14th Symposium held in Utrecht, The Netherlands, pages 186-192, 2000.
[329]	Ambroise, C. & Govaert, G. EM Algorithm for Partially Known Labels. In Data Analysis, Classification, and Related Methods, Proceedings of the 7th Conference of the International Federation of Classication Societies (IFCS-2000), University of Namur, Belgium, pages 161-166, springer, 2000.
[330]	Ambroise, C. & Govaert, G. Mixture Models and Clustering (Invited). In 24th Annual GFKL (Gesellschaft für Klassifikation), 2000.
[331]	Ambroise, C. & Grandvalet, Y. Prediction of ozone peaks by mixture models. In International Conference on Applications of Machine Learning to Ecological Modelling, 2000.
[332]	Prum, B. Une approche statistique de l'analyse des séquences génétiques. , 2000.
[333]	Prum, B. Les cha\>ines de Markov dans l'analyse des génomes. , 2000.
[334]	Nuel, G., Robin, S. & Baril, C. Varietal distinctness assisted by molecular markers: a methodological approach. , 2000., (MMH (Molecular Markers in Horticulturae) Congress, Montpellier, France).
1999
[335]	Ambroise, C. & Govaert, G. Classification spatiale utilisant des échantillons partiellement classés. In XXXI Journées de Statistique, Résumés, pages 407-410, 1999.
[336]	Bize, L., Muri, F., Samson, F., Rodolphe, F., Ehrlich, S., Prum, B. & Bessières, P. Searching gene transfers on Bacillus Subtilis using hidden Markov models. In Recomb'99 Proceedings of the Third Annual International Conference on Computational Molecular Biology, 1999.
[337]	Granvalet, Y., Ambroise, C. & Canu, S. Local learning by sparse radial basis functions. In ICANN99, pages 233-238, IEE, 1999.
[338]	Cot, C. Stochastic dichotomic models for digital video sequences. , 1999.
1998
[339]	Ambroise, C. & Govaert, G. Convergence Proof of an EM-type Algorithm for Spatial Clustering. Pattern Recognition Letters, 19():919-927, 1998.
[340]	Ambroise, C., Sèze, G., Badran, S. & Thiria, S. Hierarchical clustering of self organizing map for cloud classification. Neurocomputing, 30():47-52, 1998.
[341]	Taupin, M.L. Estimation in the nonlinear errors-in-variables model.. C. R. Acad. Sci. Paris Se\́r. I Math. 326, 7():885-890, 1998.
[342]	, (eds). Processus sur un réseau, mesures de Gibbs. , (), Masson, 1998.
[343]	Taupin, M.L. Semi-parametric estimation in the nonlinear errors-in-variables model. , 1998.
[344]	Nuel, G., Robin, S. & Baril, C. Prédiction de distance phénotypiques à partir de données moléculaires pour la distinction variétale. , 1998., (Journées méthodologiques du GEVES (Groupe d'Etude et de Contr\>ole des Variétés et des Semences), Paris, France).
1997
[345]	Ambroise, C. Introduction à la reconnaissance des formes. , 1997.
1996
[346]	Ambroise, C. & Govaert, G. Constrained Clustering and Kohonen Self-Organizing Maps. Journal of Classification, 13(2):299-313, 1996.
[347]	Ambroise, C. & Govaert, G. Analyzing Dissimilarity Matrices using Kohonen Maps. In Proceeding of IFCS96, 1:425-430, 1996.
[348]	Ambroise, C. Approche probabiliste en classification automatique et contraintes de voisinage. , 1996.
1995
[349]	Ambroise, C. & Govaert, G. Self-organization for Gaussian Parsimonious Clustering. In Proceeding of ICANN1995, 1:425-430, 1995.
1991
[350]	, (eds). Stochastic processes on a lattice and Gibbs measure. , (), Kluwer, 1991.
1984
[351]	Laprevotte, I., Hampe, A., Sherr, C. & Galibert, F. Nucleotide sequence of the gag gene and gag-pol junction of feline leukemia virus. Journal of Virology, 50(3):884-894, 1984.

Ici un exemple : <btex>year:2008,team:SG</btex>  Valeurs possibles : SG, EDP, Autres, PMF

2008
[1]	Taupin, M.L. Décon volution et estimation dans les modèles avec erreurs sur les variables.. , 2008.
[2]	Neuvial, P. Contributions to the statistical analysis of microarray data. , 2008.
[3]	Birmelé, E., Elati, M., Rouveirol, C. & Ambroise, C. Identification of functional modules based on transcriptional regulation structure. BMC Proceedings, 2((Suppl 4):S4):, 2008.
[4]	Bollet, M., Servant, N., Neuvial, P., Decraene, C., Lebigot, I., Meyniel, J., De Rycke, Y., Savignoni, A., Rigaill, G., Hupé, P., Fourquet, A., Sigal-Zafrani, B., Barillot, E. & Thiery, J.P. High-resolution mapping of DNA breakpoints to define true recurrences among ipsilateral breast cancers. J Natl Cancer Inst, 100(1):48-58, 2008.
[5]	Brunel, N. Parameter estimation of ODEs via nonparametric estimators. Electronic Journal of Statistics, 2():1242-1267, 2008.
[6]	Butucea, C. & Taupin, M.L. New M-estimators in semiparametric regression with errors-in-variables.. Annales de l'Institut Henri Poincaré, 44(3):393-421, 2008.
[7]	Chiquet, J. & Limnios, N. A Method to Compute the Transition Function of a Piecewise Deterministic Markov Process with Application to Reliability. Statistics and Probability Letters, 78(12):1397-1403, 2008.
[8]	Chiquet, J., Limnios, N. & Eid, M. Modelling and Estimation the Reliability of Stochastic Dynamical Systems with Markovian Switching. Reliabilty Engineering and System Safety, 93(12):1801-1808, 2008.
[9]	Ciullo, M., Nutile, T., Dalmasso, C., Sorice, R., Bellenguez, C., Colonna, V., Persico, M. & Bourgain, C. Identification and replication of a novel obesity locus on chromosome 1q24 in isolated populations of Cilento.. Diabetes, 57(3):783-790, 2008.
[10]	Comte, F., Dedecker, J. & Taupin, M.L. Adaptive density decon volution with dependent inputs.. Math. Methods Statist., 17(2):87-112, 2008.
[11]	Comte, F., Dedecker, J. & Taupin, M.L. Adaptive density estimation for general ARCH models.. Econometric Theory, 24(6):1628-1662, 2008., (http://journals.cambridge.org/action/displayJournal?jid=ECT).
[12]	Dalmasso, C., Génin, E. & Trégouet, D. A weighted-Holm procedure accounting for allele frequencies in genomewide association studies.. Genetics, 180(1):697-702, 2008.
[13]	Dalmasso, C., Carpentier, W., Meyer, L., Rouzioux, C., Goujard, C., Chaix, M., Lambotte, O., Avettand-Fenoel, V., Le Clerc, S., Denis de Senneville, L., Deveau, C., Boufassa, F., Debré, P., Delfraissy, J. & ro, . Distinct genetic loci control plasma HIV-RNA and cellular HIV-DNA levels in HIV-1 infection: the ANRS Genome Wide Association 01 study.. PLoS One, 3(12):e3907, 2008.
[14]	Daudin, J.J., Picard, F. & Robin, S. A mixture model for random graphs. Statist. Comput., 18(2):, 2008.
[15]	Degtyarenko, K., Matos, P., Ennis, M., Hastings, J., Zbinden, M., McNaught, A., Alcantara, R., Darsow, M., Guedj, M. & Ashburner, M. ChEBI: a database and ontology for chemical entities of biological interest. Nucleic acids Research, 36():D344-D350, 2008.
[16]	Dieude, P., Guedj, M., Wipff, J., Avouac, J., Hachulla, E., Diot, E., Granel, B., Sibilia, J., Cabane, J., Meyer, O., Mouthon, L., Kahan, A., Boileau, C. & Allanore, Y. The PTPN22 620W allele confers susceptibility to Systemic Sclerosis: a large case control study among European Caucasians and meta-analysis. Rheumatism and Arthritis, 58():2183-2188, 2008.
[17]	Dieude, P., Guedj, M., Wipff, J., Avouac, J., Fajardy, I., Diot, E., Granel, B., Sibilia, J., Cabane, J., Mouthon, L., Cracowski, J., Carpentier, P., Hachulla, O., Kahan, A., Boileau, C. & Allanore, Y. Association between the IRF5 rs2004640 functional polymorphism and systemic sclerosis: A new perspective for pulmonary fibrosis. Arthritis Rheumatoid, 60():225-233, 2008.
[18]	Forner, K., Lamarine, M., Guedj, M., Dauvillier, J. & Wojcik, J. Universal false discovery rate estimation methodology for genome-wide association studies. Human Heredity, 65():183-194, 2008.
[19]	Guedj, M., Nuel, G. & Prum, B. A note on allelic tests in case-control association studies. Annals of Human Genetics, 72():407-409, 2008.
[20]	Guedj, M., Bourillon, A., Combadières, C., Rodero, M., Dieude, P., Descamps, V., Dupin, N., Wolkenstein, P., Aegerter, P., Lebbe, C., Basset-Seguin, N., Prum, B., Saiag, P., Grandchamp, B. & Soufir, N. Variants of the MATP/SLC45A2 gene are protective for melanoma in the French population. Human Mutation, 29():1154-1160, 2008.
[21]	Neuvial, P. Asymptotic properties of false discovery rate controlling procedures under independence. Electron. J. Stat., 2():1065-1110, 2008.
[22]	Zanghi, H., Ambroise, C. & Miele, V. Fast Online Graph Clustering via Erdös Renyi Mixture. Pattern Recognition, 41(12):3592-3599, 2008.
[23]	Chiquet, J. & Limnios, N. Mathematical methods in survival analysis, reliability and quality of life. , ():, Wiley, 2008.

Outils pour utilisateurs

Outils du site

Panneau latéral

Outils de la page