Publications

2025
[1]	Lerbet, J., Basdouri, I. & Kasmi, S. Stability analysis of conformable fractional order systems. Applied Mathematics-A Journal of Chinese Universities, 2025.
2024
[2]	Chassat, P. Functional and Shape Data Analysis under the Frenet-Serret Framework : Application to Sign Language Motion Trajectories Analysis. , 2024. (Theses)
[3]	Pycke, J.R. A discrete Cramer-von Mises statistic related to Hahn polynomials with application to goodness-of-fit testing for hypergeometricdistributions. Axioms, MDPI, 2024.
[4]	Bondi, A., Livieri, G. & Pulido, S. Affine Volterra processes with jumps. Stochastic Processes and their Applications, 168, Elsevier, 2024.
[5]	Archambault, T., Filoche, A., Charantonis, A.A., Bereziat, D. & Thiria, S. Learning Sea Surface Height Interpolation from Multi-variate Simulated Satellite Observations. James, Journal of Advancing in Modeling Earth Syst, 16(6):e2023MS004047, AGU, 2024.
[6]	Kilar, N., Bayad, A. & Simsek, Y. FINITE SUMS INVOLVING TRIGONOMETRIC FUNCTIONS AND SPECIAL POLYNOMIALS: ANALYSIS OF GENERATING FUNCTIONS AND p-ADIC INTEGRALS. Applicable Analysis and Discrete Mathematics, Department of Applied Mathematics, University of Belgrade, 2024.
[7]	Jourdain, B. & Menozzi, S. Convergence Rate of the Euler-Maruyama Scheme Applied to Diffusion Processes with L Q -- L \rho Drift Coefficient and Additive Noise. The Annals of Applied Probability, 34(1B), Institute of Mathematical Statistics (IMS), 2024.
[8]	Lesur Kupin, I., Rogier, O., Sow, M.D., Boury, C., Duplan, A., Garnier, A., Senhaji-Rachik, A., Civan, P., Daron, J., Delaunay, A., Duvaux, L., Benoit, V., Guichoux, E., Le Provost, G., Sanou, E., Ambroise, C., Plomion, C., Salse, J., Segura, V., Tost, J. & Maury, S. A Strategy for Studying Epigenetic Diversity in Natural Populations: Proof of Concept in Poplar and Oak. Journal of Experimental Botany, pages erae266, Oxford University Press (OUP), 2024., (We thank the Genotoul bioinformatics platform Toulouse Occitanie (Bioinfo Genotoul, https://doi.org/10.15454/1.5572369328961167E12) for providing computing and storage resources. WGS and WGBS sequencing were performed at the Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Evry, France. All the capture experiments were performed at the PGTB (doi:10.15454/1.5572396583599417E12). SeqCapBis sequencing was performed at the GeT-PlaGe core facility, INRAe Toulouse.).
[9]	Lemarie-Rieusset, P.G. The Navier-Stokes equations in mixed-norm time-space parabolic Morrey spaces. Tunisian Journal of Mathematics, 6(1):137-155, Mathematical Science Publishers, 2024.
[10]	Bandera, A., Fernandez-Garcia, S., Gomez-Marmol, M. & Vidal, A. Automatic Proper Orthogonal Block Decomposition method for network dynamical systems with multiple timescales. Communications in Nonlinear Science and Numerical Simulation, 131:107844, Elsevier, 2024.
[11]	Lavi, I., Meunier, N. & Pantz, O. Implicit like time discretization for the one-phase Hele-Shaw problem with surface tension. ESAIM: Mathematical Modelling and Numerical Analysis, EDP Sciences, 2024.
[12]	Archambault, T., Filoche, A., Charantonis, A.A. & Bereziat, D. Pre-training and Fine-tuning Attention Based Encoder Decoder Improves Sea Surface Height Multi-variate Inpainting. In VISAPP 2024 - 19th International Conference on Computer Vision Theory and Applications, 2024.
[13]	Bayad, A., Alkan, M., Kucukoglu, I. & Ones, O. PROCEEDINGS BOOK of MICOPAM 2023 The 6thMediterranean International Conference of Pure \& Applied Mathematics and Related Areas. In 6th Mediterranean International Conference of Pure \& Applied Mathematics and Related Areas (MICOPAM 2023), 2024.
[14]	Mary-Huard, T. & Rigaill, G. fst4pg: Genetic Distance Segmentation for Population Genetics. , 2024., ().
[15]	Abi Jaber, E., Cuchiero, C., Pelizzari, L., Pulido, S. & Svaluto-Ferro, S. Polynomial Volterra processes. , 2024., (working paper or preprint).
[16]	Abbas-Turki, L., Crepey, S., Li, B. & Saadeddine, B. An Explicit Scheme for Pathwise XVA Computations. , 2024., (working paper or preprint).
[17]	Bastide, D. & Crepey, S. Provisions and Economic Capital for Credit Losses. , 2024., (working paper or preprint).
[18]	Vergara-Hermosilla, G. & Zhao, J. On the Cauchy problem for the fractional Keller-Segel system in variable Lebesgue spaces. , 2024., (working paper or preprint).
[19]	Gapeev, P.V., Jeanblanc, M. & Wu, D. Projections in enlargements of filtrations under Jacod's absolute continuity hypothesis for marked point processes *. , 2024., (working paper or preprint).
[20]	Pulido, S., Rosenbaum, M. & Sfendourakis, E. Understanding the worst-kept secret of high-frequency trading. , 2024., (working paper or preprint).
[21]	Lemarie-Rieusset, P.G. Highly singular (frequentially sparse) steady solutions for the 2D Navier-Stokes equations on the torus. , 2024., (working paper or preprint).
[22]	Runge, V., Hocking, T.D., Romano, G., Afghah, F., Fearnhead, P. & Rigaill, G. gfpop : An R Package for Univariate Graph-Constrained Change-Point Detection. , pages 1-39, 2024., (working paper or preprint).
[23]	Hao, Z., Jabir, J.F., Menozzi, S., Rockner, M. & Zhang, X. PROPAGATION OF CHAOS FOR MODERATELY INTERACTING PARTICLE SYSTEMS RELATED TO SINGULAR KINETIC MCKEAN-VLASOV SDES. , 2024., (working paper or preprint).
[24]	Benezet, C. & Crepey, S. Handling model risk with XVAs. , 2024., (working paper or preprint).
[25]	Aurzada, F., Bothe, D., Druet, P.&., Kettner, M. & Profeta, C. Persistence exponents via perturbation theory: MA(1)-processes. , 2024., (27 pages).
[26]	Vergara-Hermosilla, G. Remarks on variable Lebesgue spaces and fractional Navier-Stokes equations. , 2024., (working paper or preprint).
[27]	Alfonsi, A., Kebaier, A. & Lelong, J. A pure dual approach for hedging Bermudan options. , 2024., (working paper or preprint).
[28]	Lelievre, T., Pavliotis, G.A., Robin, G., Santet, R. & Stoltz, G. Optimizing the diffusion coefficient of overdamped Langevin dynamics. , 2024., (working paper or preprint).
[29]	Fitoussi, M., Jourdain, B. & Menozzi, S. Weak well-posedness and weak discretization error for stable-driven SDEs with Lebesgue drift. , 2024., (working paper or preprint).
[30]	Chamorro, D. & Llerena, D. Partial regularity and L3 -norm concentration effects around possible blow-up points for the micropolar fluid equations. , 2024., (working paper or preprint).
[31]	Jawad, H. & BRUNEL, N.J.B. QROA: A Black-Box Query-Response Optimization Attack on LLMs. , 2024., (working paper or preprint).
[32]	Amorino, C., Gloter, A. & Halconruy, H. Evolving privacy: drift parameter estimation for discretely observed i.i.d. diffusion processes under LDP. , 2024., (working paper or preprint).
[33]	Jarrin, O. & Vergara-Hermosilla, G. An Lp-theory for fractional stationary Navier-Stokes equations. , 2024., (working paper or preprint).
[34]	Burq, N., Camps, N., Latocca, M., Sun, C. & Tzvetkov, N. THE SECOND PICARD ITERATION OF NLS ON THE 2D SPHERE DOES NOT REGULARIZE GAUSSIAN RANDOM INITIAL DATA. , 2024., (working paper or preprint).
[35]	Dedecker, J., Guedj, O. & Taupin, M.L. Asymptotic confidence interval for R2 in multiple linear regression. , 2024., (working paper or preprint).
[36]	Bondi, A. & Pulido, S. Feller's test for explosions of stochastic Volterra equations. , 2024., (working paper or preprint).
[37]	Benezet, C., Cheng, Z. & Jaimungal, S. Learning conditional distributions on continuous spaces. , 2024., (working paper or preprint).
[38]	Latocca, M. & Munnier, V. Generalized Carleson Embeddings of Müntz Spaces. , 2024., (working paper or preprint).
[39]	Bayad, A. & Gaboury, S. FURTHER EXPANSION FORMULAS FOR A CLASS OF GENERALIZED HURWITZ-LERCH ZETA FUNCTIONS OBTAINED BY MEANS OF A NEW LEIBNIZ RULE FOR FRACTIONAL DERIVATIVES. , 2024., (working paper or preprint).
[40]	Alamichel, C., Calvo, J., Hingant, E., Latrach, S., Quiblier, N. & Yvinec, R. Modeling compartmentalization within intracellular signaling pathway. , 2024., (working paper or preprint).
[41]	Bayad, A., Kim, T. & Rim, S.H. Bernstein polynomials on Simplex. , 2024., (8 pages).
[42]	Vergara-Hermosilla, G. On variable Lebesgue spaces and generalized nonlinear heat equations. , 2024., (working paper or preprint).
[43]	Chevalier, E., Hafsi, Y. & Ly Vath, V. Uncovering Market Disorder and Liquidity Trends Detection. , 2024., (working paper or preprint).
2023
[44]	Szafranski, M. Apprentissage machine pour l'intégration et l'interaction de données structurées. , 2023.
[45]	Nevoret, C. Analyse de données longitudinales, causalité et parcours de soin : une application aux bases médico-administratives françaises. , 2023. (Theses)
[46]	Liehrmann, A. Multiscale analysis of transcriptome : methodological and algorithmic developments. , 2023. (Theses)
[47]	Sanou, D.E. Integration of complex omics data through Multiscale Gaussian Graphical Models. , 2023. (Theses)
[48]	Obry, L. Procédures de tests multiples avec pondérations dans les études d'association pangénomiques. , 2023. (Theses)
[49]	Ibrahim Amoukou, S. Trustworthy machine learning : explainability and distribution-free uncertainty quantification. , 2023. (Theses)
[50]	Brocchieri, E. Evolutionary dynamics of populations structured by dietary diversity and starvation : cross-diffusion systems. , 2023. (Theses)
[51]	Sloyan, B., Chapman, C., Cowley, R. & Charantonis, A.A. Application of Machine Learning Techniques to Ocean Mooring Time Series Data. Journal of Atmospheric and Oceanic Technology, 40(3):241-260, American Meteorological Society, 2023.
[52]	Romano, G., Eckley, I., Fearnhead, P. & Rigaill, G. Fast Online Changepoint Detection via Functional Pruning CUSUM statistics. Journal of Machine Learning Research, 24:1-36, Microtome Publishing, 2023.
[53]	Lerbet, J., Challamel, N., Nicot, F. & Darve, F. Intrinsic incremental evolution of hypoelastic discrete mechanical systems. Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 103(11), Wiley-VCH Verlag, 2023.
[54]	Lelievre, T., Robin, G., Sekkat, I., Stoltz, G. & Victorino Cardoso, G. Generative methods for sampling transition paths in molecular dynamics. ESAIM: Proceedings, 73:238-256, EDP Sciences, 2023.
[55]	Chamorro, D. & Llerena, D. A crypto-regularity result for the micropolar fluids equations. Journal of Mathematical Analysis and Applications, 520(2), Elsevier, 2023.
[56]	Liehrmann, A., Delannoy, E., Launay-Avon, A., Gilbault, E., Loudet, O., Castandet, B. & Rigaill, G. DiffSegR: an RNA-seq data driven method for differential expression analysis using changepoint detection. NAR Genomics and Bioinformatics, 5(4):lqad098, Oxford University Press, 2023.
[57]	Chamorro, D., Marcoci, A.N. & Marcoci, L.G. Functional Inequalities in Stratified Lie groups with Sobolev, Besov, Lorentz and Morrey spaces. Results in mathematics = Resultate der Mathematik, 78(219), Springer Verlag, 2023.
[58]	Cousien, A., Dhersin, J.S., Tran, V.C. & Vo, T.P.T. Respondent-driven sampling on sparse Erdös-Rényi graphs. Acta Mathematica Vietnamica, 48(3):479-513, Springer Singapore, 2023.
[59]	Demarie, S., Pycke, J.R., Pizzuti, A. & Billat, V. Pacing of human locomotion on land and in water: 1500 m swimming vs.5000 m running. Applied Sciences, Multidisciplinary digital publishing institute (MDPI), 2023.
[60]	Latocca, M. Construction of high regularity invariant measures for the 2D Euler equations and remarks on the growth of the solutions. Communications in Partial Differential Equations, 48(1):22-53, Taylor \& Francis, 2023.
[61]	Ayad, M., Bayad, A. & Kihel, O. On fixed divisors of the values of the minimal polynomials over Z of algebraic numbers. Hardy-Ramanujan Journal, Volume 45 - 2022, Hardy-Ramanujan Society, 2023.
[62]	Obry, L. & Dalmasso, C. Weighted multiple testing procedures in genome-wide association studies. PeerJ, 11:e15369, PeerJ, 2023.
[63]	Pycke, J.R. New Karhunen-Loeve expansions based on Hahn polynomials with application to a Sobolev test for uniformity on Johnson graphs. Comptes Rendus. Mathématique, Académie des sciences (Paris), 2023.
[64]	Massoumi, S., Shakhlavi, S.J., Challamel, N. & Lerbet, J. Divergence and flutter instabilities of a non-conservative axial lattice under non-reciprocal interactions. Archive of Applied Mechanics, 94(1):187-203, Springer Verlag, 2023.
[65]	de Rosa, L., Latocca, M. & Stefani, G. ON DOUBLE HÖLDER REGULARITY OF THE HYDRODYNAMIC PRESSURE IN BOUNDED DOMAINS. Calculus of Variations and Partial Differential Equations, 62(3):85, Springer Verlag, 2023.
[66]	Bouktir, S., Ghanmi, B., Basdouri, I., Ichalal, D. & Lerbet, J. H-stability of Set Differential Equations. Archives of Control Sciences, 33(4):761-788, Polish Academy of Sciences, 2023.
[67]	Erny, X., Locherbach, E. & Loukianova, D. Strong error bounds for the convergence to its mean field limit for systems of interacting neurons in a diffusive scaling. The Annals of Applied Probability, 33(5), 2023.
[68]	Alfonsi, A. & Kebaier, A. Approximation of Stochastic Volterra Equations with kernels of completely monotone type. Mathematics of Computation, 93(346):643-677, American Mathematical Society, 2023.
[69]	de Rosa, L., Latocca, M. & Stefani, G. Full Double Hölder Regularity of the Pressure in Bounded Domains. International Mathematics Research Notices, Oxford University Press (OUP), 2023.
[70]	Runge, V., Hocking, T.D., Romano, G., Afghah, F., Fearnhead, P. & Rigaill, G. gfpop : An R Package for Univariate Graph-Constrained Change-Point Detection. Journal of Statistical Software, 106(6):1-39, University of California, Los Angeles, 2023.
[71]	Demarie, S., Pycke, J.R., Pizutti, A. & Billat, V. Pacing Strategy of 800 m and 1500 m Freestyle Swimming Finals in the World Championships According to the Performance in Males and Females of Different Age Groups. Applied Sciences, Multidisciplinary digital publishing institute (MDPI), 2023.
[72]	Briant, M. & Meunier, N. Well-posedness for systems of self-propelled particles. Kinetic and Related Models , AIMS, 2023.
[73]	Marino, L. & Menozzi, S. Weak well-posedness for degenerate SDEs driven by Lévy processes. Stochastic Processes and their Applications, 162:106-170, Elsevier, 2023.
[74]	Laso-Jadart, R., O'Malley, M., Sykulski, A.M., Ambroise, C. & Madoui, M.A. Holistic view of the seascape dynamics and environment impact on macro-scale genetic connectivity of marine plankton populations.. BMC Ecology and Evolution, 23(1):46, BMC, 2023.
[75]	Tran, H.C., Schmitt, V., Lama, S., Wang, C., Launay-Avon, A., Bernfur, K., Sultan, K., Khan, K., Brunaud, V., Liehrmann, A., Castandet, B., Levander, F., Rasmusson, A., Mireau, H., Delannoy, E. & van Aken, O. An mTRAN-mRNA interaction mediates mitochondrial translation initiation in plants. Science, 381(6661), American Association for the Advancement of Science (AAAS), 2023.
[76]	Chaudru de Raynal, P., Menozzi, S., Pesce, A. & Zhang, X. Heat kernel and gradient estimates for kinetic SDEs with low regularity coefficients. Bulletin des Sciences Mathématiques, 183:103229, Elsevier, 2023.
[77]	Palacin, F., Poinsard, L., Pycke, J.R. & Billat, V. A Pilot Study Using Entropy for Optimizing Self-Pacing During aMarathon.. Entropy, MDPI, 2023.
[78]	Benezet, C., Gobet, E. & Targino, R. Transform MCMC schemes for sampling intractable factor copula models. Methodology and Computing in Applied Probability, 25(1):13, Springer Verlag, 2023.
[79]	Bayad, A. & Raouj, A. RECIPROCITY LAWS FOR DEDEKIND COTANGENT SUMS. Rocky Mountain Journal of Mathematics, 53(6), Rocky Mountain Mathematics Consortium, 2023.
[80]	Eisenbaum, N. & Meunier, N. A stochastic lipid structured model for macrophage dynamics in atherosclerotic plaques.. Journal of Mathematical Biology, Springer, 2023.
[81]	Lerbet, J., Basdouri, I. & Kasmi, S. Practical Mittag-Leffler stability of quasi-one-sided Lipschitz fractional order systems. Archives of Control Sciences, 33(1):55-70, Polish Academy of Sciences, 2023.
[82]	Keller-Ressel, M., Larsson, M. & Pulido, S. Rough affine models. In Rough Volatility, 2023.
[83]	Chassat, P., Park, J. & Brunel, N.J.B. Shape Analysis of Euclidean Curves under Frenet-Serret Framework. In 2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 4004-4013, IEEE, 2023.
[84]	Filoche, A., Brajard, J., Charantonis, A.A. & Bereziat, D. Learning 4DVAR inversion directly from observations. In Workshop on Machine Learning and Data Assimilation for Dynamical Systems (MLDADS), International Conference on Computational Science (ICCS), 2023.
[85]	Archambault, T., Filoche, A., Charantonis, A.A. & Bereziat, D. Multimodal Unsupervised Spatio-Temporal Interpolation of satellite ocean altimetry maps. In VISAPP, 2023.
[86]	Le Marrec, L., Lerbet, J. & Hariz, M. Classification of the post-buckling static and dynamic solutions of a beam under large, but forceless, bending and torsion. In International Nonlinear Dynamics Conference (NODYCON 2023), 2023.
[87]	Bleistein, L., Fermanian, A., Jannot, A.S. & Guilloux, A. Learning the Dynamics of Sparsely Observed Interacting Systems. In ICML 2023 - 40th International Conference on Machine Learning, 202, 2023.
[88]	Samson, F. & Rizzon, C. A long story of genomic interface. , 2023., (Poster).
[89]	Linchamps, P., Stoetzel, E., Hanon, R., Cornette, R. & Latouche, P. Predicting Quaternary hominin climatic niches using faunal assemblages with random forest algorithms. , 2023., (Poster).
[90]	De Santiago, K., Szafranski, M. & Ambroise, C. Mixture of stochastic block models for multiview clustering. In ESANN 2023 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pages 151-156, 2023.
[91]	Frioux, C., Huet, S., Labarthe, S., Martinelli, J., Malou, T., Sherman, D., Taupin, M.L. & Ugalde-Salas, P. Accelerating metabolic models evaluation with statistical metamodels: application to Salmonella infection models. , 73:187-217, EDP Sciences, 2023.
[92]	Lemarie-Rieusset, P.G. Forces for the Navier-Stokes equations and the Koch and Tataru theorem. , 2023., (working paper or preprint).
[93]	Chaudru de Raynal, P.E., Jabir, J.F. & Menozzi, S. Multidimensional Stable Driven McKean-Vlasov SDEs with Distributional Interaction Kernel: Critical Thresholds and Related Models. , 2023., (working paper or preprint).
[94]	Chamorro, D. & Llerena, D. Partial suitable solutions for the micropolar equations and regularity properties. , 2023., (working paper or preprint).
[95]	Burtea, C., Meunier, N. & Mouhot, C. Concentration in an advection-diffusion model with diffusion coefficient depending on the past trajectory. , 2023., (working paper or preprint).
[96]	Pishchagina, L., Rigaill, G. & Runge, V. Geometric-Based Pruning Rules For Change Point Detection in Multiple Independent Time Series. , 2023., (working paper or preprint).
[97]	Marino, L., Menozzi, S. & Priola, E. About the regularity of degenerate non-local Kolmogorov operators under diffusive perturbations. , 2023., (Comments are welcome!).
[98]	Bastide, D., Crepey, S., Drapeau, S. & Tadese, M. Resolving a Clearing Member's Default, A Radner Equilibrium Approach. , 2023., (working paper or preprint).
[99]	Comets, F., Loukianov, O. & Loukianova, D. Limit of the environment viewed from Sinaï's walk. , 2023., (working paper or preprint).
[100]	Chamorro, D. & Jarrin, O. A turbulent study for a damped Navier-Stokes equation: turbulence and problems. , 2023., (working paper or preprint).
[101]	Benezet, C., Crepey, S. & Essaket, D. Hedging Valuation Adjustment for Callable Claims. , 2023., (working paper or preprint).
[102]	Konakov, V. & Menozzi, S. Limit Theorems for Random Walks in the Hyperbolic Space. , 2023., (working paper or preprint).
[103]	Liehrmann, A. & Rigaill, G. Ms.FPOP: An Exact and Fast Segmentation Algorithm With a Multiscale Penalty. , 2023., (38 pages, 17 figures).
[104]	Meunier, N. & Souplet, P. Convergence, concentration and critical mass phenomena in a chemotaxis model with boundary signal production for eukaryotic cell migration. , 2023., (46 pages, a few minor typos corrected in v2).
[105]	Chamorro, D., Llerena, D. & Vergara-Hermosilla, G. Some remarks about the stationary Micropolar fluid equations: existence, regularity and uniqueness. , 2023., (working paper or preprint).
[106]	Jeanblanc, M. & Gapeev, P.V. On the construction of conditional probability densities in the Brownian and compound Poisson filtrations *. , 2023., (working paper or preprint).
[107]	Benezet, C., Chassagneux, J.F. & Yang, M. An optimal transport approach for the multiple quantile hedging problem. , 2023., (working paper or preprint).
[108]	Jiang, Y. & Vergara-Hermosilla, G. Machine learning-based modelling and forecasting of COVID-19 under temporally varying public intervention. , 2023., (working paper or preprint).
[109]	Profeta, C. Survival and maximum of spectrally negative branching Lévy processes with absorption. , 2023., (working paper or preprint).
[110]	Baouan, A., Coustou, S., Lacome, M., Pulido, S. & Rosenbaum, M. Crediting football players for creating dangerous actions in an unbiased way: the generation of threat (GoT) indices. , 2023., (working paper or preprint).
[111]	Chamorro, D. & Mindrilȃ, C. A new approach for the regularity of weak solutions of the 3D Boussinesq system. , 2023., (working paper or preprint).
[112]	Chamorro, D. & Vergara-Hermosilla, G. Lebesgue spaces with variable exponent: some applications to the Navier-Stokes equations. , 2023., (working paper or preprint).
[113]	Bedrossian, J. & Latocca, M. Noninvariance of Gaussian Measures Under the 2D Euler Flow. , 2023., (working paper or preprint).
[114]	Sow, M.D., Rogier, O., Lesur, I., Daviaud, C., Mardoc, E., Sanou, E., Duvaux, L., Civan, P., Delaunay, A., Descauses, M.C.L., Benoit, V., Le-Jan, I., Buret, C., Besse, C., Durufle, H., Fichot, R., Le-Provost, G., Guichoux, E., Boury, C., Garnier, A., Senhaji-Rachik, A., Jorge, V., Ambroise, C., Tost, J., Plomion, C., Segura, V., Maury, S. & Salse, J. Epigenetic Variation in Tree Evolution: a case study in black poplar (Populus nigra). , 2023., (working paper or preprint).
[115]	Chamorro, D. & Vergara-Hermosilla, G. Liouville type theorems for stationary Navier-Stokes equations with Lebesgue spaces of variable exponent. , 2023., (working paper or preprint).
2022
[116]	Saadeddine, B. Learning From Simulated Data in Finance : XVAs, Risk Measures and Calibration. , 2022. (Theses)
[117]	Erny, X., Locherbach, E. & Loukianova, D. Mean field limits for interacting Hawkes processes in a diffusive regime. Bernoulli, 28(1), Bernoulli Society for Mathematical Statistics and Probability, 2022.
[118]	Chamorro, D. Mixed Sobolev-like Inequalities in Lebesgue spaces of variable exponents and in Orlicz spaces. Positivity, 26(5), Springer Verlag, 2022.
[119]	Lemarie-Rieusset, P.G. A remark on weak-strong uniqueness for suitable weak solutions of the Navier-Stokes equations. Revista Matemática Iberoamericana, 38(7):2217-2248, European Mathematical Society, 2022.
[120]	Bayad, A. & Simsek, Y. On Generating Functions for Parametrically Generalized Polynomials Involving Combinatorial, Bernoulli and Euler Polynomials and Numbers. Symmetry, 14(4):654, MDPI, 2022.
[121]	Kamari, H., Huet, S. & Taupin, M.L. RKHSMetaMod: An R Package to Estimate the Hoeffding Decomposition of a Complex Model by Solving RKHS Ridge Group Sparse Optimization Problem. The R Journal, 14(1):101-122, R Foundation for Statistical Computing, 2022.
[122]	Amorino, C., Dion, C., Gloter, A. & Lemler, S. On the nonparametric inference of coefficients of self-exciting jump-diffusion. Electronic Journal of Statistics , 16, Shaker Heights, OH : Institute of Mathematical Statistics, 2022.
[123]	Massoumi, S., Challamel, N. & Lerbet, J. Bending/shear wave dispersion analysis of granular chains -- Discrete and enriched continuous Cosserat modelling. International Journal of Solids and Structures, 236-237:111355, Elsevier, 2022.
[124]	Lerbet, J., Challamel, N., Nicot, F. & Darve, F. Divergence instability of kinematically constrained Hencky chains: Analytic results and asymptotic behavior. Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 102(1), Wiley-VCH Verlag, 2022.
[125]	Erny, X. Well-posedness and propagation of chaos for McKean-Vlasov equations with jumps and locally Lipschitz coefficients. Stochastic Processes and their Applications, 150:192-214, Elsevier, 2022.
[126]	Massoumi, S., Challamel, N., Lerbet, J., Wautier, A., Nicot, F. & Darve, F. Static bending of granular beam: exact discrete and nonlocal solutions. Meccanica, 57(8):2043-2066, Springer Verlag, 2022.
[127]	Bichat, A., Ambroise, C. & Mariadassou, M. Hierarchical correction of p-values via an ultrametric tree running Ornstein-Uhlenbeck process. Computational Statistics, 37(3):995-1013, Springer Verlag, 2022.
[128]	Bayad, A. & Hajli, M. On Jacobi forms, and explicit evaluations of some trigonometric sums. Ramanujan Journal, 60(1):27-57, Springer Verlag, 2022.
[129]	Mbaye, C., Sagna, A. & Vrins, F. Conditional survival probabilities under partial information: a recursive quantization approach with applications. The Journal of Computational Finance, 22(1), Incisive Media, 2022.
[130]	Challamel, N., Nicot, F., Wautier, A., Darve, F. & Lerbet, J. Hyperelastic or Hypoelastic Granular Circular Chain Instability in a Geometrically Exact Framework. Journal of Engineering Mechanics - ASCE, 148(9):04022053, American Society of Civil Engineers, 2022.
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[132]	Gassot, L. & Latocca, M. Probabilistic local well-posedness for the Schrödinger equation posed for the Grushin Laplacian. Journal of Functional Analysis, 283(3):109519, Elsevier, 2022.
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[134]	Marino, L., Menozzi, S. & Priola, E. Poisson process and sharp constants in Lp and Schauder estimates for a class of degenerate Kolmogorov operators. Studia Mathematica, 267(3):321-346, Instytut Matematyczny - Polska Akademii Nauk, 2022.
[135]	Erny, X. Mean field system of a two-layers neural model in a diffusive regime. Mathematical Neuroscience and Applications, 2, Inria, 2022.
[136]	Hwan Jo, G., Bayad, A. & Kim, D. CONVOLUTION SUM OF RAMANUJAN'S SUM. Journal of Applied and Pure Mathematics, 4(1-2):63-69, The Korean Society for Computational and Applied Mathematics, 2022.
[137]	Atmani, S., Bayad, A. & Hernane, M.O. Congruences for Fourier coefficients of eta-quotients modulo powers of 5, 7, 11, 13, and 17. Mathematical Methods in the Applied Sciences, 46(5):5001-5028, Wiley, 2022.
[138]	Park, J., Ahn, J. & Jeon, Y. Sparse functional linear discriminant analysis. Biometrika, 109(1):209-226, Oxford University Press (OUP), 2022.
[139]	Cottin, A., Pecuchet, N., Zulian, M., Guilloux, A. & Katsahian, S. IDNetwork: A deep illness-death network based on multi-state event history process for disease prognostication. Statistics in Medicine, 41(9):1573-1598, Wiley-Blackwell, 2022.
[140]	Chamorro, D. & Llerena, D. Interior epsilon-regularity theory for the solutions of the magneto-micropolar equations with a perturbation term. Journal of Elliptic and Parabolic Equations, 8:555-616, Springer, 2022.
[141]	Hariz, M., Le Marrec, L. & Lerbet, J. Buckling of Timoshenko beam under two-parameter elastic foundations. International Journal of Solids and Structures, 244 - 245:article n\textdegree 111583, Elsevier, 2022.
[142]	Bandera Moreno, A., Fernandez-Garcia, S., Gomez-Marmol, M.M. & Vidal, A. A multiple timescale network model of intracellular calcium concentrations in coupled neurons: Insights from ROM simulations. Mathematical Modelling of Natural Phenomena, 17:11, EDP Sciences, 2022.
[143]	Chaudru de Raynal, P.&., Honore, I. & Menozzi, S. Strong regularization by Brownian noise propagating through a weak Hörmander structure. Probability Theory and Related Fields, 184(1-2):1-83, Springer Verlag, 2022.
[144]	Maillot, G., Szadkowski, E., Massire, A., Brunaud, V., Rigaill, G., Caromel, B., Chad\oeuf, J., Bachellez, A., Touhami, N., Hein, I., Lamour, K., Balzergue, S. & Lefebvre, V. Strive or thrive: Trends in Phytophthora capsici gene expression in partially resistant pepper. Frontiers in Plant Science, 13(980587):1-19, Frontiers, 2022.
[145]	Courbariaux, M., De Santiago, K., Dalmasso, C., Danjou, F., Bekadar, S., Corvol, J.C., Martinez, M., Szafranski, M. & Ambroise, C. A Sparse Mixture-of-Experts Model With Screening of Genetic Associations to Guide Disease Subtyping. Frontiers in Genetics, 13, Frontiers Media, 2022.
[146]	Delattre, S., Gloter, A. & Yoshida, N. RATE OF ESTIMATION FOR THE STATIONARY DISTRIBUTION OF STOCHASTIC DAMPING HAMILTONIAN SYSTEMS WITH CONTINUOUS OBSERVATIONS. Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques, 58(4):1998-2028, Institut Henri Poincaré (IHP), 2022.
[147]	Cucchi, A., Mellet, A. & Meunier, N. Self polarization and traveling wave in a model for cell crawling migration. Discrete and Continuous Dynamical Systems - Series A, 42(5):2381, American Institute of Mathematical Sciences, 2022.
[148]	Benezet, C., Chassagneux, J.F. & Richou, A. Switching problems with controlled randomisation and associated obliquely reflected BSDEs. Stochastic Processes and their Applicationspages Pages 23-71, Elsevier, 2022.
[149]	Erny, X., Locherbach, E. & Loukianova, D. White-noise driven conditional McKean-Vlasov limits for systems of particles with simultaneous and random jumps. Probability Theory and Related Fields, Springer Verlag, 2022.
[150]	Billat, V., Poinsard, L., Palacin, F., Pycke, J.R. & Maroney, M. Oxygen uptake measurements and rate of perceived exertion during amarathon. International Journal of Environmental Research and Public Health, MDPI, 2022.
[151]	Lerbet, J., Basdouri, I., Bartouli, I. & Nasri, E. N-transvectants. Caspian Journal of Mathematical Sciences, 11(1):69-78, 2022.
[152]	Hocking, T.D., Rigaill, G., Fearnhead, P. & Bourque, G. Generalized Functional Pruning Optimal Partitioning (GFPOP) for Constrained Changepoint Detection in Genomic Data. Journal of Statistical Software, 101(10), University of California, Los Angeles, 2022.
[153]	Pycke, J.R. On a Karhunen-Loève expansion based on Krawtchouk polynomials with application to Bahaduroptimality for the binomial location family. Filomat, University of Nis, 2022.
[154]	Sundqvist, M., Chiquet, J. & Rigaill, G. Adjusting the adjusted Rand Index A multinomialstory. Computational Statistics, 38(1):327-347, Springer Verlag, 2022.
[155]	Pycke, J.R. & Billat, V. Marathon performance depends on pacing oscillations between non symmetric extreme values. International Journal of Environmental Research and Public Health, 19(4):2463, MDPI, 2022.
[156]	Menozzi, S. & Zhang, X. Heat kernel of supercritical SDEs with unbounded drifts. Journal de l'École polytechnique - Mathématiques, 9:537-579, École polytechnique, 2022.
[157]	Lepoutre, T. & Meunier, N. Analysis of a model of cell crawling migration. Communications in Mathematical Sciences, 20(6):1589-1611, International Press, 2022.
[158]	Dhorne-Pollet, S., Fitzpatrick, C., da Costa, B., Bourgon, C., Eleouet, J.F., Meunier, N., Burzio, V.A., Delmas, B. & Barrey, E. Antisense oligonucleotides targeting ORF1b block replication of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Frontiers in Microbiology, 13:915202, Frontiers Media, 2022.
[159]	Chevalier, E., Pulido, S. & Zu\~niga, E. American options in the Volterra Heston model. SIAM Journal on Financial Mathematics, 13(2):426-458, Society for Industrial and Applied Mathematics , 2022.
[160]	Javelot, H., Meyer, G., Becker, G., Post, G., Runge, V., Pospieszynski, P., Schneiderlin, T., Armand-Branger, S., Michel, B., Weiner, L., Faria, C.G.F., Drapier, D., Fakra, E., Fossati, P., Haffen, E., Yrondi, A. & Hingray, C. Les échelles anticholinergiques : usage en psychiatrie et mise à jour de l'échelle d'imprégnation anticholinergique. L'Encéphale, Elsevier Masson, 2022.
[161]	Profeta, C. Extreme values of critical and subcritical branching stable processes with positive jumps. ALEA : Latin American Journal of Probability and Mathematical Statistics, XIX:1421-1433, Instituto Nacional de Matemática Pura e Aplicada (Rio de Janeiro, Brasil) [2006-....], 2022.
[162]	Khattou, C., Bayad, A. & Hernane, M.O. New results on Bernoulli numbers of higher order. Rocky Mountain Journal of Mathematics, 52(1), Rocky Mountain Mathematics Consortium, 2022.
[163]	Alvarez-Diaz, J., Richard, M., Thareau, V., Teano, G., Paysant-Le-Roux, C., Rigaill, G., Pflieger, S., Gratias, A. & Geffroy, V. Genome-Wide Identification of Key Components of RNA Silencing in Two Phaseolus vulgaris Genotypes of Contrasting Origin and Their Expression Analyses in Response to Fungal Infection. Genes, 13(1):1-19, MDPI, 2022.
[164]	Antonsanti, P.L., Benseghir, T., Jugnon, V., Ghosn, M., Chassat, P., Kaltenmark, I. & Glaunes, J. How to Register a Live onto a Liver ? Partial Matching in the Space of Varifolds. Journal of Machine Learning for Biomedical Imaging, Melba editors, 2022., (30 pages, 11 figures, Special Issue: Information Processing in Medical Imaging (IPMI) 2021, Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) https://www.melba-journal.org).
[165]	Chaudru de Raynal, P.&. & Menozzi, S. On Multidimensional stable-driven Stochastic Differential Equations with Besov drift. Electronic Journal of Probability, 27(none), Institute of Mathematical Statistics (IMS), 2022.
[166]	Chamorro, D. & Issoglio, E. Blow-up for a nonlinear PDE with fractional Laplacian and singular quadratic nonlinearity. Mathematical News / Mathematische Nachrichten, 295:1462-1479, Wiley-VCH Verlag, 2022.
[167]	Bayad, A. & Hajli, M. The extended Eulerian numbers over function fields. Applicable Analysis and Discrete Mathematics, 16(2):508-523, Department of Applied Mathematics, University of Belgrade, 2022.
[168]	Azouz, N., Khamlia, M., Lerbet, J. & Abichou, A. Modelling and stabilization of a load suspended by cable from an airship. Multibody System Dynamics, 55:399-431, Springer Verlag, 2022.
[169]	Guinot, F., Szafranski, M. & Ambroise, C. Compression structurée de l'information génétique et étude d'association pangénomique par modèles additifs. In Intégration de données biologiques, pages 129-163, ISTE Group, 2022.
[170]	Hariz, M., Le Marrec, L. & Lerbet, J. Domain of validation for various beam models. In 25e Congrès Français de Mécanique, Nantes, 29 août-2 septembre 2022, 2022.
[171]	Chassat, P., Park, J. & Brunel, N.J.B. Analysis of variability in sign language hand trajectories: development of generative model. In MOCO '22: 8th International Conference on Movement and Computingpages 1-8, ACM, 2022.
[172]	Jeanblanc, M. Some Remarks on Enlargement of Filtration and Finance. , 2022.
[173]	Frioux, C., Huet, S., Labarthe, S., Martinelli, J., Malou, T., Sherman, D.J., Taupin, M.L. & Salas, P.U. Dynamic Flux Balance Analysis with Metamodels. , 2022., (Poster).
[174]	Lefebvre, V., Massire, A., Maillot, G., Szadkowski, E., Caromel, B., Bachellez, A., Touhami, N., Brunaud, V., Rigaill, G. & Lamour, K. Impact de la résistance partielle du piment sur l'expression des gènes de Phytophthora capsici : conséquences pour la création variétale. , 2022., (Poster).
[175]	Frioux, C., Huet, S., Labarthe, S., Martinelli, J., Malou, T., Sherman, D.J., Taupin, M.L. & Ugalde-Salas, P. Dynamic Flux Balance Analysis with Metamodels. , 2022., (Poster).
[176]	Charrier, T., Fresneau, B., Haddy, N., Schwartz, B., Journy, N., Demoor-Goldschmidt, C., Diallo, I., Surun, A., Aerts, I., Doz, F., Souchard, V., Vu-Bezin, G., Lemler, S., Letort, V., Rubino, C., Fresneau, B., Haddy, N., Schwartz, B., Journy, N., Demoor-Goldschmidt, C., Diallo, I., Surun, A., Aerts, I., Doz, F., Souchard, V., Vu-Bezin, G., Letort, V., Rubino, C., de Vathaire, F., Latouche, A. & Allodji, R.S. Increased Cardiac Risk After a Second Malignant Neoplasm Among Childhood Cancer Survivors, a FCCSS Study. , 2022., (Poster).
[177]	Bastide, D., Crepey, S., Drapeau, S. & Tadese, M. Derivatives Risks as Costs in a One-Period Network Model. , 2022., (working paper or preprint).
[178]	Bondi, A., Pulido, S. & Scotti, S. The rough Hawkes Heston stochastic volatility model. , 2022., (working paper or preprint).
[179]	Alazard, T., Magliocca, M. & Meunier, N. Traveling wave solution for a coupled incompressible Darcy's free boundary problem with surface tension. , 2022., (working paper or preprint).
[180]	Profeta, C. Maximal displacement of spectrally negative branching Lévy processes. , 2022., (working paper or preprint).
[181]	Chamorro, D. & Menozzi, S. Non Linear Singular Drifts and Fractional Operators. , 2022., (working paper or preprint).
[182]	Chamorro, D. & Yangari, M. Some existence and regularity results for a non-local transport-diffusion equation with fractional derivatives in time and space. , 2022., (working paper or preprint).
[183]	Chamorro, D. & Poggi, B. On an almost sharp Liouville type theorem for fractional Navier-Stokes equations. , 2022., (working paper or preprint).
[184]	Cardenas, A., Pulido, S. & Serrano, R. Existence of optimal controls for stochastic Volterra equations. , 2022., (working paper or preprint).
[185]	Gapeev, P., Jeanblanc, M. & Wu, D. Projections of martingales in enlargements of filtrations under Jacod's equivalence hypothesis for marked point processes *. , 2022., (working paper or preprint).
[186]	Chaudru de Raynal, P.E., Jabir, J.F. & Menozzi, S. Multidimensional Stable driven McKean-Vlasov SDEs with distributional interaction kernel - a regularization by noise perspective. , 2022., (working paper or preprint).
[187]	Gapeev, P.V. & Jeanblanc, M. On the construction of conditional probability densities. , 2022., (working paper or preprint).
[188]	Chamorro, D. & Meunier, N. Analysis of a nonlocal and nonlinear system for cell-cell communication. , 2022., (working paper or preprint).
[189]	Profeta, C. Parisian times for linear diffusions. , 2022., (working paper or preprint).
2021
[190]	Marino, L. Weak regularization by degenerate Lévy noise and its applications. , 2021. (Theses)
[191]	Zuniga, E. Volterra processes and applications in finance. , 2021. (Theses)
[192]	Erny, X. Limite de grande échelle de systèmes de particules en interaction avec sauts simultanés en régime diffusif. , 2021. (Theses)
[193]	Profeta, C. The area under a spectrally positive stable excursion and other related processes. Electronic Journal of Probability, 26(none):1-21, Institute of Mathematical Statistics (IMS), 2021.
[194]	Chaudru de Raynal, P.&., Honore, I. & Menozzi, S. Sharp Schauder Estimates for some Degenerate Kolmogorov Equations. Annali della Scuola Normale Superiore di Pisa, Classe di Scienze, pages 989-1089, Scuola Normale Superiore , 2021.
[195]	Azouz, N., Khamlia, M., Lerbet, J. & Abichou, A. Stabilization of an Unconventional Large Airship When Hovering. Applied Sciences, 11(8):3551, Multidisciplinary digital publishing institute (MDPI), 2021.
[196]	Pages, G. & Sagna, A. A general weak and strong error analysis of the recursive quantization with an application to jump diffusions. IMA Journal of Numerical Analysis, 41(4), Oxford University Press (OUP), 2021.
[197]	Chamorro, D., Jarrin, O. & Lemarie-Rieusset, P.G. Some Liouville theorems for stationary Navier-Stokes equations in Lebesgue and Morrey spaces. Annales de l'Institut Henri Poincaré C, Analyse non linéaire, 38(3):689-710, EMS, 2021.
[198]	Chamorro, D. & He, J. On the partial regularity theory for the MHD equations. Journal of Mathematical Analysis and Applications, 494(1):124449, Elsevier, 2021.
[199]	Bussy, S., Alaya, M., Jannot, A.s. & Guilloux, A. Binacox: automatic cut-point detection in high-dimensional Cox model with applications in genetics. Biometrics, Wiley, 2021.
[200]	Bianco, B., Francois-Garret, B., Butin, M., Dalmasso, C., Casagrande, F., Mokhtari, M. & Eleni Dit Trolli, S. Procalcitonin in Preterm Neonates: A Different Threshold and Prolonged Interpretation. Frontiers in Pediatrics, 9, Frontiers, 2021.
[201]	Dalmasso, C., Derbois, C., Veyssiere, M., Olaso, R., Lamacchia, C., Alpizar-rodriguez, D., Deleuze, J.f., Finckh, A. & Petit-Teixeira, E. Identification of biological pathways specific to phases preceding rheumatoid arthritis development through gene expression profiling. International Journal of Immunogenetics, Wiley, 2021.
[202]	Liehrmann, A., Rigaill, G. & Hocking, T.D. Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models. BMC Bioinformatics, 22(1), BioMed Central, 2021.
[203]	Guilcher, M., Liehrmann, A., Seyman, C., Blein, T., Rigaill, G., Castandet, B. & Delannoy, E. Full Length Transcriptome Highlights the Coordination of Plastid Transcript Processing. International Journal of Molecular Sciences, 22(20):1-15, MDPI, 2021.
[204]	Pascucci, M., Royer, G., Adamek, J., Asmar, M.A., Aristizabal, D., Blanche, L., Bezzarga, A., Boniface-Chang, G., Brunner, A., Curel, C., Dulac-Arnold, G., Fakhri, R., Malou, N., Nordon, C., Runge, V., Samson, F., Sebastian, E., Soukieh, D., Vert, J.P., Ambroise, C. & Madoui, M.A. AI-based mobile application to fight antibiotic resistance. Nature Communications, 12(1):1173, Nature Publishing Group, 2021.
[205]	Pycke, J.R. On three families of Karhunen-Loève expansions associated with classical orthogonal polynomials. Results in mathematics = Resultate der Mathematik, 76(3):148, Springer Verlag, 2021.
[206]	Bayad, A., Bousalmi, B. & Derbal, A. EXPLICIT CLASSES OF PERMUTATION AND COMPLETE PERMUTATION POLYNOMIALS OVER FINITE FIELDS. Advanced Studies in Contemporary Mathematics. Memoirs of the Jangjeon Mathematical Society, 31(1):89-98, 2021.
[207]	Frikha, N., Konakov, V. & Menozzi, S. WELL-POSEDNESS OF SOME NON-LINEAR STABLE DRIVEN SDES. Discrete and Continuous Dynamical Systems - Series A, 41(2):849-898, American Institute of Mathematical Sciences, 2021.
[208]	Fernandez-Dalgo, P.G. & Lemarie-Rieusset, P.G. Weighted energy estimates for the incompressible Navier-Stokes equations and applications to axisymmetric solutions without swirl. Journal of Mathematical Fluid Mechanics, 23(3):76, Springer Verlag, 2021.
[209]	Jaber, E.A., Cuchiero, C., Larsson, M. & Pulido, S. A weak solution theory for stochastic Volterra equations of convolution type. The Annals of Applied Probability, 31(6):2924-2952, Institute of Mathematical Statistics (IMS), 2021.
[210]	Lerbet, J., Challamel, N., Nicot, F. & Darve, F. Divergence instability of kinematically constrained Hencky chains: Analytic results and asymptotic behavior. Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 102(1), Wiley-VCH Verlag, 2021.
[211]	Kim, D., Bayad, A. & Park, S.h. Iterated stable numbers and iterated amicable pairs. Mathematical Methods in the Applied Sciences, 44(17):12479-12499, Wiley, 2021.
[212]	Bayad, A. & Simsek, Y. p-Adic q-Twisted Dedekind-Type Sums. Symmetry, 13(9):1756, MDPI, 2021.
[213]	Massoumi, S., Challamel, N. & Lerbet, J. Exact solutions for the vibration of finite granular beam using discrete and gradient elasticity cosserat models. Journal of Sound and Vibration, 494:115839, Elsevier, 2021.
[214]	Pycke, J.R. A new family of omega-square-type statistics with Bahadur local optimality for the location family of generalized logistic distributions. Statistics and Probability Letters, 170, Elsevier, 2021.
[215]	Eastman, M., Parry, S., Sefton, C., Park, J. & England, J. Reconstructing Spatiotemporal Dynamics in Hydrological State Along Intermittent Rivers. Water, 13(4):493, MDPI, 2021.
[216]	Latocca, M. Almost sure existence of global solutions for supercritical semilinear wave equations. Journal of Differential Equations, 273:83-121, Elsevier, 2021.
[217]	Souriau, R., Lerbet, J., Chen, H. & Vigneron, V. A review on generative Boltzmann networks applied to dynamic systems. Mechanical Systems and Signal Processing, 147:107072, Elsevier, 2021.
[218]	Brocchieri, E., Corrias, L., Dietert, H. & Kim, Y.J. Evolution of dietary diversity and a starvation driven cross-diffusion system as its singular limit. Journal of Mathematical Biology, Springer, 2021.
[219]	Hariz, M., Le Marrec, L. & Lerbet, J. Explicit analysis of large transformation of a Timoshenko beam : Post-buckling solution, bifurcation and catastrophes. Acta Mechanica, 232(9):3565-3589, Springer Verlag, 2021.
[220]	Erny, X. A convergence criterion for systems of point processes from the convergence of their stochastic intensities. Electronic Communications in Probability, 26:1-10, Institute of Mathematical Statistics (IMS), 2021.
[221]	Correa, M., Lerat, E., Birmele, E.E., Samson, F., Bouillon, B., Normand, K. & Rizzon, C. The Transposable Element Environment of Human Genes Differs According to Their Duplication Status and Essentiality. Genome Biology and Evolution, 13(5), Society for Molecular Biology and Evolution, 2021., (Erratum: https://doi.org/10.1093/gbe/evab175).
[222]	Boujelben, M., Amina, J. & Lerbet, J. Cohomology of the vector fields Lie algebras on R acting on trilinear differential operators, vanishing on sl(2). Communications in Algebra, 49(7):3094-3113, Taylor \& Francis, 2021.
[223]	Menozzi, S., Pesce, A. & Zhang, X. Density and gradient estimates for non degenerate Brownian SDEs with unbounded measurable drift. Journal of Differential Equations, 272:330-369, Elsevier, 2021.
[224]	Sanchez Garcia de La Torre, V., Majorel-Loulergue, C., Rigaill, G.J., Gonzalez, D.A., Soubigou-Taconnat, L., Pillon, Y., Barreau, L., Thomine, S., Fogliani, B., Burtet-Sarramegna, V. & Merlot, S. Wide Cross-species RNA-Seq Comparison Reveals Convergent Molecular Mechanisms Involved in Nickel Hyperaccumulation Across Dicotyledons. New Phytologist, 229(2):994-1006, Wiley, 2021.
[225]	Caballero, R., Kebaier, A., Scavino, M. & Tempone, R. Quantifying uncertainty with a derivative tracking SDE model and application to wind power forecast data. Statistics and Computing, 31(5):64, Springer Verlag (Germany), 2021.
[226]	Bayad, A. & Seddik, M. On the indices in number fields and their computation for small degrees. Applicable Analysis and Discrete Mathematics, 15(1):27-44, Department of Applied Mathematics, University of Belgrade, 2021.
[227]	Erny, X., Locherbach, E. & Loukianova, D. Conditional propagation of chaos for mean field systems of interacting neurons. Electronic Journal of Probability, 26(none):1-25, Institute of Mathematical Statistics (IMS), 2021.
[228]	Chamorro, D. Introduction aux équations de Navier-Stokes. , 2021.
[229]	Hariz, M., Le Marrec, L. & Lerbet, J. Behaviour of a Kirchhoff rod loaded by a pure moment. In Congrès des Jeunes Chercheurs en Mécanique (Méca-J), 2021.
[230]	Dieuleveut, A., Fort, G., Moulines, E. & Robin, G. Federated Expectation Maximization with heterogeneity mitigation and variance reduction. In NeurIPS 2021 - 35th Conference on Neural Information Processing Systems, 2021.
[231]	Hariz, M., Le Marrec, L. & Lerbet, J. Non-linear pre and post buckling behaviour of a Timoshenko beam. In The 25th International Congress of Theoretical and Applied Mechanics, 2021.
[232]	Hariz, M., Le Marrec, L. & Lerbet, J. Explicit analysis of catasrophe on a Timoshenko beam. In Rencontre du non-linéaire 2021, 2021.
[233]	Massoumi, S., Challamel, N. & Lerbet, J. Dynamic Analysis of Granular Chain Using Cosserat Discrete Modeling. In ICTAM 2020 (International Congress of Theoretical and Applied Mechanics), 2021.
[234]	Bayad, A. Extended Eulerian numbers and prime zeta functions type. In The 3rd \& 4th Mediterranean International Conference of Pure \& Applied Mathematics and Related Areas, 2021.
[235]	Bayad, A. & Simsek, Y. Recent Advances in Number Theory and Their Applications. MDPI, 2021.
[236]	Gapeev, P.V. & Jeanblanc, M. First and second-to-default options in models with various information flows *. , 2021., (working paper or preprint).
[237]	Gapeev, P.V., Jeanblanc, M. & Wu, D. Projections in enlargements of filtrations under Jacod's equivalence hypothesis for marked point processes *. , 2021., (working paper or preprint).
[238]	Gueye, D. & Jeanblanc, M. Generalized Cox Model for Default Times. , 2021., (working paper or preprint).
[239]	Landes, C., Diaz-Lazcoz, Y., Henaut, A. & Torresani, B. Pseudo-Rate Matrices, beyond Dayhoff's model. , 2021., (working paper or preprint).
2020
[240]	Amorino, C. Bias correction for drift and volatility estimation of jump diffusion processes and non - parametric adaptive estimation of the invariant measure. , 2020. (Theses)
[241]	Kamari, H. Predictive quality of meta-models constructed on the reproducing kernel Hilbert spaces and sensitivity analysis of complex models.. , 2020. (Theses)
[242]	Bichat, A. Prise en compte de l'organisation hiérarchique des espèces pour la découverte de signatures métagénomiques multi-échelles.. , 2020. (Theses)
[243]	Six, E., Guilloux, A., Denis, A., Lecoules, A., Magnani, A., Vilette, R., Male, F., Cagnard, N., Delville, M., Magrin, E., Caccavelli, L., Roudaut, C., Plantier, C., Sobrino, S., Gregg, J., Nobles, C.L., Everett, J.K., Hacein-Bey-Abina, S., Galy, A., Fischer, A., Thrasher, A.J., Andre, I., Cavazzana, M. & Bushman, F.D. Clonal tracking in gene therapy patients reveals a diversity of human hematopoietic differentiation programs. Blood, 135(15):1219-1231, American Society of Hematology, 2020.
[244]	Fernandez-Garcia, S. & Vidal, A. Symmetric coupling of multiple timescale systems with Mixed-Mode Oscillations and synchronization. Physica D: Nonlinear Phenomena, 401:132129, Elsevier, 2020.
[245]	Challamel, N., Lerbet, J., Darve, F. & Nicot, F. Buckling of granular systems with discrete and gradient elasticity Cosserat continua. Annals of Solid and Structural Mechanics, 12(1-2):7-22, Springer Berlin Heidelberg, 2020.
[246]	Lavi, I., Meunier, N., Voituriez, R. & Casademunt, J. Motility and morphodynamics of confined cells. Physical Review E , 101(2):022404, American Physical Society (APS), 2020.
[247]	Chevalier, E., Ly Vath, V. & Roch, A. Optimal Dividend and Capital Structure with Debt Covenants. Journal of Optimization Theory and Applications, 187(2):535-565, Springer Verlag, 2020.
[248]	Bayad, A. & Seddik, M. Index, the prime ideal factorization in simplest quartic fields and counting their discriminants. Filomat, 34(2):591-600, University of Nis, 2020.
[249]	Honore, I., Menozzi, S. & Pages, G. Non-Asymptotic Gaussian Estimates for the Recursive Approximation of the Invariant Measure of a Diffusion. Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiquespages 1559-1605, Institut Henri Poincaré (IHP), 2020.
[250]	Cucchi, A., Etchegaray, C., Meunier, N., Navoret, L. & Sabbagh, L. Cell migration in complex environments: chemotaxis and topographical obstacles. ESAIM: Proceedings and Surveys, 67:191-209, EDP Sciences, 2020.
[251]	Kim, D., Bayad, A. & Ahn, H. A study of Möbius-Bernoulli numbers. Applicable Analysis and Discrete Mathematics, 14(3):719-728, Department of Applied Mathematics, University of Belgrade, 2020.
[252]	Billat, V., Palacin, F., Correa, M. & Pycke, J.R. Pacing Strategy Affects the Sub-Elite Marathoner's Cardiac Drift and Performance. Frontiers in Psychology, 10:3026, Frontiers Media, 2020.
[253]	Guinot, F., Szafranski, M., Chiquet, J., Zancarini, A., Le Signor, C., Mougel, C. & Ambroise, C. Fast computation of genome-metagenome interaction effects. Algorithms for Molecular Biology, 15(1):art.13 (21p.), BioMed Central, 2020.
[254]	Cucchi, A., Mellet, A. & Meunier, N. A Cahn-Hilliard Model for Cell Motility. SIAM Journal on Mathematical Analysis, 52(4):3843-3880, Society for Industrial and Applied Mathematics, 2020.
[255]	Tham, D.S.Y., Sowden, P., Grandison, A., Franklin, A., Lee, A.K.W., Ng, M., Park, J., Pang, W. & Zhao, J. A systematic investigation of conceptual color associations.. Journal of Experimental Psychology: General, 149(7):1311-1332, American Psychological Association, 2020.
[256]	Fernandez-Dalgo, P.G. & Lemarie-Rieusset, P.G. Weak solutions for Navier--Stokes equations with initial data in weighted L>2 spaces.. Archive for Rational Mechanics and Analysis, 237(1):347-382, Springer Verlag, 2020.
[257]	Hulot, A., Chiquet, J., Jaffrezic, F. & Rigaill, G. Fast tree aggregation for consensus hierarchical clustering. BMC Bioinformatics, 21(1), BioMed Central, 2020.
[258]	Gautreau, G., Bazin, A., Gachet, M., Planel, R., Burlot, L., Dubois, M., Perrin, A., Medigue, C., Calteau, A., Cruveiller, S., Matias, C., Ambroise, C., Rocha, E.P.C. & Vallenet, D. PPanGGOLiN: Depicting microbial diversity via a partitioned pangenome graph. PLoS Computational Biology, PLOS, 2020.
[259]	Calvez, V., Lepoutre, T., Meunier, N. & Muller, N. Non-linear analysis of a model for yeast cell communication. ESAIM: Mathematical Modelling and Numerical Analysis, 54(2):619-648, EDP Sciences, 2020.
[260]	Lallemand, T., Leduc, M., Landes, C., Rizzon, C. & Lerat, E. An Overview of Duplicated Gene Detection Methods: Why the Duplication Mechanism Has to Be Accounted for in Their Choice. Genes, 11(9):1046, MDPI, 2020.
[261]	Laso-jadart, R., Sugier, K., Petit, E., Labadie, K., Peterlongo, P., Ambroise, C., Wincker, P., Jamet, J.L. & Madoui, M.a. Investigating population-scale allelic differential expression in wild populations of Oithona similis (Cyclopoida, Claus, 1866). Ecology and Evolution, 10(16):8894-8905, Wiley Open Access, 2020.
[262]	Gloter, A., Honore, I. & Loukianova, D. Approximation of the invariant distribution for a class of ergodic jump diffusions. ESAIM: Probability and Statistics, 24:883-913, EDP Sciences, 2020.
[263]	Laso-Jadart, R., Ambroise, C., Peterlongo, P. & Madoui, M.A. metaVaR: introducing metavariant species models for reference-free metagenomic-based population genomics. PLoS ONE, Public Library of Science, 2020.
[264]	Tu, C.Y., Park, J. & Wang, H. Estimation of Functional Sparsity in Nonparametric Varying Coefficient Models for Longitudinal Data Analysis. Statistica Sinica, Taipei : Institute of Statistical Science, Academia Sinica, 2020.
[265]	Clement, E. & Gloter, A. Joint estimation for SDE driven by locally stable Lévy processes. Electronic Journal of Statistics , 14(2):2922-2956, Shaker Heights, OH : Institute of Mathematical Statistics, 2020.
[266]	Crepey, S., Fort, G., Gobet, E. & Stazhynski, U. Uncertainty Quantification for Stochastic Approximation Limits Using Chaos Expansion. SIAM/ASA Journal on Uncertainty Quantification, 8(3):1061-1089, ASA, American Statistical Association, 2020., (Accepted in May 2020.).
[267]	Crepey, S., Sabbagh, W. & Song, S. When Capital Is a Funding Source: The Anticipated Backward Stochastic Differential Equations of X-Value Adjustments. SIAM Journal on Financial Mathematics, 11:99-130, Society for Industrial and Applied Mathematics , 2020.
[268]	Gloter, A., Honore, I. & Loukianova, D. Approximation of the invariant distribution for a class of ergodic jump diffusions. ESAIM: Probability and Statistics, 24:883-913, EDP Sciences, 2020.
[269]	Filipovic, D., Larsson, M. & Pulido, S. Markov cubature rules for polynomial processes. Stochastic Processes and their Applications, 130(4):1947-1971, Elsevier, 2020.
[270]	Alazard, T., Meunier, N. & Smets, D. Lyapunov Functions, Identities and the Cauchy Problem for the Hele--Shaw Equation. Communications in Mathematical Physics, 377(2):1421-1459, Springer Verlag, 2020., (We have added some references).
[271]	Chaudru de Raynal, P.&., Menozzi, S. & Priola, E. Schauder estimates for drifted fractional operators in the supercritical case. Journal of Functional Analysis, 278(8):108425, Elsevier, 2020.
[272]	Romano, G., Rigaill, G., Runge, V. & Fearnhead, P. Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated Noise. Journal of the American Statistical Association, pages 1-16, Taylor \& Francis, 2020.
[273]	Gaigi, M., Kharroubi, I. & Lim, T. Optimal Exploitation of a General Renewable Natural Resource under State and Delay Constraints. Mathematics , 8(11):2053, MDPI, 2020.
[274]	Lerbet, J., Challamel, N., Nicot, F. & Darve, F. Second-order work criterion and divergence criterion: a full equivalence for kinematically constrained systems. Mathematics and Mechanics of Complex Systems, 8(1):1-28, International Research Center for Mathematics \& Mechanics of Complex Systems (M\&MoCS),University of L'Aquila in Italy, 2020.
[275]	Momal, R., Robin, S. & Ambroise, C. Tree-based inference of species interaction networks from abundance data. Methods in Ecology and Evolution, 11(5):621-632, Wiley, 2020.
[276]	Frouin, A., Dandine-Roulland, C., Pierre-Jean, M., Deleuze, J.F., Ambroise, C. & Le Floch, E. Exploring the link between additive heritability and prediction accuracy from a ridge regression perspective. Frontiers in Genetics, 11:581594, Frontiers Media, 2020.
[277]	Bichat, A., Plassais, J., Ambroise, C. & Mariadassou, M. Incorporating Phylogenetic Information in Microbiome Differential Abundance Studies Has No Effect on Detection Power and FDR Control. Frontiers in Microbiology, 11, Frontiers Media, 2020.
[278]	Lerbet, J., Challamel, N., Nicot, F. & Darve, F. Second-order work criterion and divergence criterion: a full equivalence for kinematically constrained systems. Mathematics and Mechanics of Complex Systems, 8(1):1-28, International Research Center for Mathematics \& Mechanics of Complex Systems (M\&MoCS),University of L'Aquila in Italy, 2020.
[279]	Massoumi, S., Challamel, N. & Lerbet, J. Exact Solutions for the Vibration of Finite Granular Beam Using Discrete and Gradient Elasticity Cosserat Models. Journal of Sound and Vibration, Elsevier, 2020.
[280]	Chaudru de Raynal, P.E., Menozzi, S. & Priola, E. Weak Well-Posedness of Multidimensional Stable Driven SDEs in the Critical Case. Stochastics and Dynamics, 20(6):2040004, World Scientific Publishing, 2020.
[281]	Chaudru de Raynal, P.E. & Menozzi, S. Regularization effects of a noise propagating through a chain of differential equations: an almost sharp result. Transactions of the American Mathematical Society, American Mathematical Society, 2020.
[282]	Pycke, J.R. On a generalization of Rényi-Srivastava characterizationof the Poisson law.. Journal of Applied Probability, Cambridge University press, 2020.
[283]	Lerbet, J., Challamel, N., Nicot, F. & Darve, F. Stability of Discrete Non-conservative Systems. , pages i-iiiElsevier, 2020.
[284]	Albanese, C., Chataigner, M. & Crepey, S. Wealth Transfers, Indifference Pricing, and XVACompression Schemes. In From Probability to Finance - Lecture note of BICMR summer school on financial mathematics, 2020.
[285]	Champion, M., Chiquet, J., Neuvial, P., Elati, M., Radvanyi, F. & Birmele, E.E. Identification of deregulated transcription factors involved in subtypes of cancers. In Proceedings of the 12th International Conference on Bioinformatics and Computational Biology, pages 1-10, 2020.
[286]	Simsek, Y., Bayad, A., Alkan, M., Kucukoglu, I. & Ones, O. PROCEEDINGS BOOK of the 2th Mediterranean International Conference of Pure \& Applied Mathematics and Related Areas (MICOPAM 2019). In 2th Mediterranean International Conference of Pure \& Applied Mathematics and Related Areas (MICOPAM 2019), 2020.
[287]	Chiquet, J., Rigaill, G. & Sundqvist, M. aricode: Efficient Computations of Standard Clustering Comparison Measures. , 2020., ().
[288]	Chamorro, D., Cortez, F., He, J. & Jarrin, O. On the local regularity theory for the MHD equations. , 2020., (working paper or preprint).
[289]	Marino, L. Schauder estimates for degenerate Lévy Ornstein-Ulhenbeck operators. , 2020., (30 pages).
[290]	Kharroubi, I., Lim, T. & Warin, X. Discretization and Machine Learning Approximation of BSDEs with a Constraint on the Gains-Process. , 2020., (working paper or preprint).
[291]	Amorino, C. & Gloter, A. Unbiased truncated quadratic variation for volatility estimation in jump diffusion processes. , 2020., (working paper or preprint).
[292]	Chamorro, D. & He, J. Regularity theory for the dissipative solutions of the MHD equations. , 2020., (working paper or preprint).
[293]	Clement, E. & Gloter, A. Joint estimation for SDE driven by locally stable Lévy processes. , 2020., (working paper or preprint).
[294]	Amorino, C. & Gloter, A. Invariant density adaptive estimation for ergodic jump diffusion processes over anisotropic classes. , 2020., (working paper or preprint).
[295]	Bussy, S., Alaya, M.Z., Jannot, A.S. & Guilloux, A. Binacox: automatic cut-point detection in high-dimensional Cox model with applications in genetics. , 2020., (working paper or preprint).
[296]	Gloter, A. & Yoshida, N. Adaptive and non-adaptive estimation for degenerate diffusion processes. , 2020., (working paper or preprint).
[297]	Fernandez-Dalgo, P.G. & Jarrin, O. Weak suitable solutions for 3D MHD equations for intermittent initial data. , 2020., (working paper or preprint).
[298]	Amorino, C. & Gloter, A. Joint estimation for volatility and drift parameters of ergodic jump diffusion processes via contrast function. , 2020., (working paper or preprint).
2019
[299]	Bussy, S., Guilloux, A., Gaiffas, 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.
[300]	Abi Jaber, E., Larsson, M. & Pulido, S. Affine Volterra processes. The Annals of Applied Probability, 29(5):3155-3200, Institute of Mathematical Statistics (IMS), 2019.
[301]	Bayad, A. & Seddik, M. On cubic Thue equations and the indices of algebraic integers in cubic fields. Applicable Analysis and Discrete Mathematics, 13(3):774-786, Department of Applied Mathematics, University of Belgrade, 2019.
[302]	Bayad, A. JACOBI FORMS IN TWO VARIABLES: MULTIPLE ELLIPTIC DEDEKIND SUMS, THE KUMMER-VON STAUDT CLAUSEN CONGRUENCES FOR ELLIPTIC BERNOULLI FUNCTIONS AND VALUES OF HECKE L-FUNCTIONS. Montes Taurus Journal of Pure and Applied Mathematics, 1(2):58-129, 2019.
[303]	Robin, G., Ambroise, C. & Robin, S.S. Incomplete graphical model inference via latent tree aggregation. Statistical Modelling, 19(5):545-568, SAGE Publications, 2019.
[304]	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.
[305]	Bielecki, T.R., Chen, T., Cialenco, I., Cousin, A. & Jeanblanc, M. Adaptive Robust Control Under Model Uncertainty. SIAM Journal on Control and Optimization, 57(2):925-946, Society for Industrial and Applied Mathematics, 2019.
[306]	Morel, M., Bacry, E., Gaiffas, S., Guilloux, A. & Leroy, F. ConvSCCS: convolutional self-controlled case-seris model for lagged adverser event detection. Biostatistics, Oxford University Press (OUP), 2019.
[307]	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.
[308]	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.
[309]	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.
[310]	Profeta, C. & Vrins, F. Piecewise Constant Martingales and Lazy Clocks. Probability, Uncertainty and Quantitative Risk, 4(2), American Institute of Mathematical Sciences , 2019.
[311]	Alaya, M.Z., Bussy, S., Gaiffas, S. & Guilloux, A. Binarsity: a penalization for one-hot encoded features. Journal of Machine Learning Research, 20(118):1-34, Microtome Publishing, 2019.
[312]	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.
[313]	Profeta, C. & Simon, T. Cramér's estimate for stable processes with power drift. Electronic Journal of Probability, 24:275, Institute of Mathematical Statistics (IMS), 2019.
[314]	Fiorin, L., Pages, 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.
[315]	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.
[316]	Crepey, S., Fort, G., Gobet, E. & Stazhynski, U. Quantification d'incertitude pour l'Approximation Stochastique. Actes de Conférence du Colloque GRETSI 2019, 2019.
[317]	Clement, E. & Gloter, A. Estimating functions for SDE driven by stable Lévy processes. Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques, 55(3):1316-1348, Institut Henri Poincaré (IHP), 2019.
[318]	Meunier, N. & Muller, N. Modelling the inflammatory process in atherosclerosis: a nonlinear renewal equation. Acta Applicandae Mathematicae, 161(1), Springer Verlag, 2019.
[319]	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.
[320]	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.
[321]	Etchegaray, C. & Meunier, N. A stochastic model for cell adhesion to the vascular wall. Journal of Mathematical Biology, Springer, 2019.
[322]	Bayad, A., Kim, D. & Li, Y. Arithmetical properties of double Möbius-Bernoulli numbers. Open Mathematics Journal, 17(1):32-42, Bentham Open, 2019.
[323]	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.
[324]	Profeta, C. Persistence and exit times for some additive functionals of skew Bessel processes. Journal of Theoretical Probability, pages doi.org/10.1007/s10959-019-00966-1, Springer, 2019.
[325]	Chamorro, D., Jarrin, O. & Lemarie-Rieusset, P.G. Frequency decay for Navier-Stokes stationary solutions. Comptes Rendus. Mathématique, 357(2):175-179, Académie des sciences (Paris), 2019.
[326]	Fearnhead, P. & Rigaill, G. Changepoint detection in the presence of outliers. Journal of the American Statistical Association, 114(525):169-183, Taylor \& Francis, 2019.
[327]	Bayad, A. & Hajli, M. On the multidimensional zeta functions associated with theta functions, and the multidimensional Appell polynomials. Mathematical Methods in the Applied Sciences, 43(5):2679-2694, Wiley, 2019.
[328]	Adiga, C., Bayad, A. & Dasappa, R. Some new congruences for (s,t)-regular bipartition functions. Array, 106(120):53-67, Elsevier, 2019.
[329]	Chevalier, E., Vath, V.L. & Mnif, M. Path-dependent American options. The Journal of Computational Finance, 23(1):61-95, Incisive Media, 2019.
[330]	Lemarie-Rieusset, P.G. Interpolation, extrapolation, Morrey spaces and local energy control for the Navier--Stokes equations.. Banach Center Publications, 119:279-294, Institute of Mathematics Polish Academy of Sciences, 2019.
[331]	Fisher, T., Pulido, S. & Ruf, J. Financial Models with Defaultable Numéraires. Mathematical Finance, 29(1):117-136, Wiley, 2019.
[332]	Barrera, D., Crepey, S., Diallo, B., Fort, G., Gobet, E. & Stazhynski, U. Stochastic Approximation Schemes for Economic Capital and Risk Margin Computations. ESAIM: Proceedings and Surveys, EDP Sciences, 2019.
[333]	Bartouli, I., Derbali, A., Chraygui, M.E. & Lerbet, J. Cohomology of V ect ( R ) acting on the space of bilinear differential operators. Journal of Geometry and Physics, 138:317-330, Elsevier, 2019.
[334]	Meunier, N., Mouhot, C. & Roux, R. Long time behavior in locally activated random walks. Communications in Mathematical Sciences, 17(4):1071-1094, International Press, 2019.
[335]	Jabir, J.F. & Profeta, C. A stable Langevin model with diffusive-reflective boundary conditions. Stochastic Processes and their Applications, 129(11):4269-4293, Elsevier, 2019.
[336]	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 Mathematics, 2019.
[337]	Bartouli, I., Derbali, A., Chraygui, M.E. & Lerbet, J. Cohomology of V ect ( R ) acting on the space of bilinear differential operators. Journal of Geometry and Physics, 138:317-330, Elsevier, 2019.
[338]	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.
[339]	Kramkov, D. & Pulido, S. Density of the set of probability measures with the martingale representation property. Annals of Probability, 47(4):2563-2581, Institute of Mathematical Statistics, 2019.
[340]	Lucio, F., Pages, G. & Sagna, A. Markovian and product quantization of an \mathbb R>d-valued Euler scheme of a diffusion process with applications to finance. Methodology and Computing in Applied Probability, 21:1087-1118, Springer Verlag, 2019.
[341]	Clement, E., Gloter, A. & Nguyen, H. LAMN property for the drift and volatility parameters of a sde driven by a stable Lévy process. ESAIM: Probability and Statistics, 23:136-175, EDP Sciences, 2019.
[342]	Robin, S.S. & Ambroise, C. Applications in Genomics. In HANDBOOK OF MIXTURE ANALYSIS, CRC PRESS-TAYLOR \& FRANCIS GROUP, 2019.
[343]	Blanchet-Scalliet, C., Jeanblanc, M. & Romo Romero, R. Enlargement of filtration in discrete time. In Risk And Stochastics: Ragnar Norberg, pages 99-126, Worl Scientific, 2019.
[344]	Lemarie-Rieusset, P.G. Real variable methods in harmonic analysis and Navier-Stokes equations. In Harmonic Analysis and Applications, 2019.
[345]	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.
[346]	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.
[347]	Souriau, R., Vigneron, V., Lerbet, J. & Chen, H. Boltzmann Machines for signals decomposition. Application to Parkinson's Disease control. In XXVIIème Colloque francophone de traitement du signal et des images (GRETSI 2019), 2019.
[348]	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.
[349]	Enjalbert, J., Allard, V., Ambroise, C., Andrieu, B., Barot, S., Bentze, L., Blanc, E., Borg, J., Cantarel, A., Coleno, 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., Lemarie, 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., Tropee, 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.
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[351]	Massoumi, S., Challamel, N. & Lerbet, J. Dynamique d'une Chaîne Granulaire en Flexion -Modèles Discrets et Continus. In CFM, 2019.
[352]	Marwan, H., Guy, C., Marrec Loic, L. & Lerbet, J. Timoshenko beam under Winkler foundation. In 24 Congrès Français de Mécanique à Brest, 26-30 août 2019, 2019.
[353]	Massoumi, S., Challamel, N. & Lerbet, J. Discrete and gradient Elasticity Cosserat Modeling of Granular Chains. In Powders and Granular Materials (PGMM ), 2019.
[354]	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.
[355]	Gautreau, G., Bazin, A., Planel, R., Gachet, M., Dubois, M., Burlot, L., Perrin, A., Touchon, M., Rocha, E., Ambroise, C., Matias, C., Medigue, C. & Vallenet, D. PanGBank: depicting microbial species diversity via PPanGGOLiN. , 2019., (Poster).
[356]	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).
[357]	Chiquet, J., Rigaill, G. & Hulot, A. mergeTrees: Aggregating Trees. CRAN, 2019., ().
[358]	Marino, L. Schauder estimates for degenerate stable Kolmogorov equations. , 2019., (working paper or preprint).
[359]	Di Tella, P. & Jeanblanc, M. Martingale Representation in the Enlargement of the Filtration Generated by a Point Process. , 2019., (working paper or preprint).
[360]	Jeanblanc, M. & Li, L. Characteristics and constructions of default times Characteristics and constructions of default times. , 2019., (working paper or preprint).
[361]	Fernandez-Dalgo, P.G. & Jarrin, O. Existence of infinite-energy and discretely self-similar global weak solutions for 3D MHD equations. , 2019., (working paper or preprint).
[362]	Huet, S. & Taupin, M.L. Metamodel construction for sensitivity analysis. , 2019., (working paper or preprint).
[363]	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).
[364]	Bielecki, T.R., Jakubowski, J., Jeanblanc, M. & Niew¦gªowski, M. Semimartingales and Shrinkage of Filtration. , 2019., (working paper or preprint).
[365]	Alaya, M.B., Hajji, K. & Kebaier, A. Improved adaptive Multilevel Monte Carlo and applications to finance. , 2019., (24 pages, 1 figure).
[366]	Chevalier, E., Ly Vath, V. & Roch, A. Optimal dividend and capital structure with debt covenants. , 2019., (working paper or preprint).
[367]	Gapeev, P.V. & Jeanblanc, M. Credit default swaps in two-dimensional models with various information flows *. , 2019., (working paper or preprint).
[368]	Bocchi, E., He, J. & Vergara-Hermosilla, G. Modelling and simulation of a wave energy converter. , 2019., (working paper or preprint).
[369]	Gapeev, P.V., Jeanblanc, M. & Wu, D. Projections in enlargements of filtrations under Jacod's hypothesis and examples. , 2019., (working paper or preprint).
[370]	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).
[371]	Amorino, C. & Gloter, A. Contrast function estimation for the drift parameter of ergodic jump diffusion process. , 2019., (working paper or preprint).
[372]	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).
2018
[373]	Lim, T. Quelques applications du contrôle stochastique aux mathématiques financières. , 2018.
[374]	Jarrin, O. Descriptions déterministes de la turbulence dans les équations de Navier-Stokes. , 2018. (Theses)
[375]	Seddik, M. indices in number fields and their applications. , 2018. (Theses)
[376]	Rasamoely, F. Modélisation de carnet d'ordres et gestion de risque de liquidité. , 2018. (Theses)
[377]	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.
[378]	Cacace, S., Camilli, F. & Corrias, L. A Differential Model for Growing Sandpiles on Networks. SIAM Journal on Mathematical Analysis, 50(3):2509-2535, Society for Industrial and Applied Mathematics, 2018.
[379]	Bayad, A. & Goubi, M. Reciprocity formulae for generalized Dedekind-Vasyunin-cotangent sums. Mathematical Methods in the Applied Sciences, 42(4):1082-1098, Wiley, 2018.
[380]	Profeta, C. A remark on positive sojourn times of symmetric processes. Journal of Applied Probability, 55(1):69-81, Cambridge University press, 2018.
[381]	Etchegaray, 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 Mathematical Models and Methods in Applied Sciences, IET Inspec, 2018.
[382]	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.
[383]	Koksal Ersoz, E., Vidal, A. & Clement, 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 Mathematics, 2018.
[384]	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).
[385]	Etchegaray, C. & Meunier, N. A stochastic model for protrusion activity. ESAIM: Proceedings and Surveys, EDP Sciences, 2018.
[386]	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.
[387]	Bayad, A. & Komatsu, T. Zeta functions interpolating the convolution of the Bernoulli polynomials. Integral Transforms and Special Functions, 29(8):611-622, Taylor \& Francis, 2018.
[388]	Pages, G. & Sagna, A. Improved error bounds for quantization based numerical schemes for BSDE and nonlinear filtering. Stochastic Processes and their Applications, 128:847-883, Elsevier, 2018.
[389]	Guinot, F., Szafranski, M., Ambroise, C. & Samson, F. Learning the optimal scale for GWAS through hierarchical SNP aggregation. BMC Bioinformatics, 19, BioMed Central, 2018.
[390]	Bayad, A. & Kim, D. Mean Values of Products of L-Functions and Bernoulli Polynomials. Mathematics , 6(12):337, MDPI, 2018.
[391]	Filipovic, D., Ackerer, D. & Pulido, S. The Jacobi Stochastic Volatility Model. Finance and Stochastics, 22(3):667-700, Springer Verlag (Germany), 2018.
[392]	Etchegaray, C. & Meunier, N. Crawling migration under chemical signalling: A stochastic model. Mathematical Methods in the Applied Sciences, 41(18):8799-8815, Wiley, 2018.
[393]	Billat, V., Brunel, N.J.B., Carbillet, T., Labbe, 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.
[394]	Chamorro, D. & Menozzi, S. Non Linear Singular Drifts and Fractional Operators: when Besov meets Morrey and Campanato. Potential Analysis, 49(1):1-35, Springer Verlag, 2018.
[395]	Clement, E., Gloter, A. & Nguyen, H. Asymptotics in small time for the density of a stochastic differential equation driven by a stable Lévy process. ESAIM: Probability and Statistics, 22:58-95, EDP Sciences, 2018.
[396]	Profeta, C. On the supremum of products of symmetric stable processes. Electronic Communications in Probability, 23(none), Institute of Mathematical Statistics (IMS), 2018.
[397]	Lemarie-Rieusset, P.G. Sobolev multipliers, maximal functions and parabolic equations with a quadratic nonlinearity. Journal of Functional Analysis, 274(3):659-694, Elsevier, 2018.
[398]	Gloter, A. & Loukianova, D. Jump filtering and efficient drift estimation for Lévy-driven SDEs. The Annals of Statistics, 46(4), 2018.
[399]	Jonchere, 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., Lefevre, J., Andre, T., Flejou, 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.
[400]	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.
[401]	Menozzi, S. Martingale problems for some degenerate Kolmogorov equations. Stochastic Processes and their Applications, 128(3):756-802, Elsevier, 2018., (44 pages).
[402]	Jarrin, O. Descriptions déterministes de la turbulence dans les équations de Navier-Stokes. , 2018.
[403]	Chamorro, D. Espacios de Lebesgue y de Lorentz. In Espacios de Lebesgue y de Lorentz, 2018.
[404]	Sow, M.D., Allona, I., Ambroise, C., Conde, D., Fichot, R.R., Gribkova, S., Jorge, V., Le Provost, G., Paques, 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).
[405]	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.
[406]	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.
[407]	Gautreau, G., Ambroise, C., Matias, C., Perrin, A., Planel, R., Touchon, M., Medigue, 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.
[408]	Pycke, J.R. On a Characterization of Poisson law with applications to the extended risk model in non-life insurance.. In Proceedings of the 7th Annual International Conference on Computational Mathematics, Computational Geometry \& Statistics (CMCGS 2108), 2018.
[409]	Gautreau, G., Ambroise, C., Matias, C., Perrin, A., Planel, R., Touchon, M., Medigue, C., Rocha, E., Cruveiller, S. & Vallenet, D. PPanGGOLiN: Depicting microbial diversity via a Partitioned Pangenome Graph. In Genome Informatics 2018, 2018.
[410]	Bayad, A. Note on Möbius-Bernoulli numbers. In MICOPAM 2018, 20, 2018.
[411]	Hulot, A., Chiquet, J., Jaffrezic, F. & Rigaill, G. Fused-ANOVA : une méthode de clustering en grande dimension. In 50èmes Journées de Statistique, 2018.
[412]	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.
[413]	Frouin, A., Le Flocch, E. & Ambroise, C. Quantify Genomic Heritability Through a Prediction Measure. In 46th European Mathematical Genetics Meeting (EMGM), 83-1:2, Kanger - basel - Switzerland, 2018.
[414]	Sundqvist, M., de Koning, L., Rigaill, G., Dubois, T. & Chiquet, J. PO-435 Proteomic classification of triple negative breast cancer. , 3:A402, 2018., (Poster).
[415]	Alaya, M.Z., Lemler, S., Guilloux, A. & Allart, T. High-dimensional time-varying Aalen and Cox models. , 2018., (working paper or preprint).
[416]	Matoussi, A. & Sabbagh, W. Numerical Computation for Backward Doubly SDEs with random terminal time. , 2018., (38, Monte Carlo Methods and Applications (MCMA) 2016).
[417]	Coculescu, D. & Jeanblanc, M. STRUCTURE CONDITIONS UNDER SHORT-SALES CONSTRAINTS AND APPLICATIONS TO CONVERGING ASSET PRICES. , 2018., (working paper or preprint).
[418]	Albanese, C., Caenazzo, S. & Crepey, S. Capital and Funding. , 2018., (working paper or preprint).
[419]	Crepey, S. & Nguyen, T.M. Nonlinear Monte Carlo schemes for counterparty risk on credit derivatives. , 2018., (working paper or preprint).
[420]	Crepey, S. & Song, S. Counterparty risk and funding: immersion and beyond. , 2018., (working paper or preprint).
[421]	Armenti, Y., Crepey, S. & Zhou, C. The Sustainable Black-Scholes Equations. , 2018., (working paper or preprint).
[422]	Armenti, Y., Crepey, S., Drapeau, S. & Papapantoleon, A. Multivariate Shortfall Risk Allocation and Systemic Risk. , 2018., (working paper or preprint).
[423]	Aksamit, A., Choulli, T. & Jeanblanc, M.R. THIN TIMES AND RANDOM TIMES' DECOMPOSITION. , 2018., (working paper or preprint).
[424]	Gloter, A., Honore, I. & Loukianova, D. NON-ASYMPTOTIC CONCENTRATION INEQUALITY FOR AN APPROXIMATION OF THE INVARIANT DISTRIBUTION OF A DIFFUSION DRIVEN BY COMPOUND POISSON PROCESS. , 2018., (working paper or preprint).
[425]	Abbas-Turki, L.A., Crepey, S. & Diallo, B. XVA Principles, Nested Monte Carlo Strategies, and GPU Optimizations. , 2018., (working paper or preprint).
[426]	Clement, E. & Gloter, A. Estimating functions for SDE driven by stable Lévy processes. , 2018., (working paper or preprint).
[427]	Brigo, D., Jeanblanc, M. & Vrins, F. SDEs with uniform distributions: Peacocks, Conic martingales and mean reverting uniform diffusions. , 2018., (working paper or preprint).
[428]	Lim, T., Kharroubi, I. & Ly-Vath, V. Optimal Exploitation of a Resource with Stochastic Population Dynamics and Delayed Renewal. , 2018., (working paper or preprint).
[429]	Virouleau, A., Guilloux, A., Gaiffas, S. & Bogdan, M. HIGH-DIMENSIONAL ROBUST REGRESSION AND OUTLIERS DETECTION WITH SLOPE. , 2018., (working paper or preprint).
[430]	Fernando Cortez, M. & Jarrin, O. Optimal decay and asymptotic behavior of solutions to a non-local perturbed KdV equation. , 2018., (working paper or preprint).
2017
[431]	Sadacca, B. Pharmacogenomic and High-Throughput Data Analysis to Overcome Triple Negative Breast Cancers Drug Resistance. , 2017. (Theses)
[432]	Armenti, Y. XVA Analysis, Risk Measures and Applications to Centrally Cleared Trading. , 2017. (Theses)
[433]	Mayoufi, K. Les inégalités d'énergie locales dans la théorie des équations de Navier-Stokes. , 2017. (Theses)
[434]	Russell, E. & Pycke, J.R. Log-normal Distribution of Cosmic Voids in Simulations and Mocks. Astrophys.J., 835(1):69, 2017.
[435]	Konakov, V., Kozhina, A. & Menozzi, S. Stability of Densities for Perturbed Diffusions and Markov Chains. ESAIM: Probability and Statistics, 21:88-112, EDP Sciences, 2017.
[436]	Banica, V., Faou, E. & Miot, E. Collision of almost parallel vortex filaments. Communications on Pure and Applied Mathematics, 70(2):378-405, Wiley, 2017.
[437]	Becu, J.M., Grandvalet, Y., Ambroise, C. & Dalmasso, C. Beyond support in two-stage variable selection. Statistics and Computing, 27(1):169-179, Springer Verlag (Germany), 2017.
[438]	Auli, J., Bayad, A. & Beck, M. Reciprocity theorems for Bettin--Conrey sums. Acta Arithmetica, 181(4):297-319, Instytut Matematyczny PAN, 2017.
[439]	Clement, E. & Gloter, A. An application of the KMT construction to the pathwise weak error in the Euler approximation of one-dimensional diffusion process with linear diffusion coefficient. The Annals of Applied Probability, 27(4):2419-2454, Institute of Mathematical Statistics (IMS), 2017.
[440]	Huet, S. & Taupin, M.L. Metamodel construction for sensitivity analysis. ESAIM: Proceedings and Surveys, 60-2017:27-69, EDP Sciences, 2017.
[441]	Signerska-Rynkowska, J., Touboul, J., Vidal, A. & Rubin, J. Wild oscillations in a nonlinear neuron model with resets: (II) Mixed-mode oscillations. Discrete and Continuous Dynamical Systems - Series B, 22(10):4003-4039, American Institute of Mathematical Sciences, 2017.
[442]	Bayad, A., Dossavi-Yovo, A., Filipin, A. & Togbe, A. On the extensibility of the D(4)-triple \k -2, k + 2, 4k\ over Gaussian integers. Notes on Number Theory and Discrete Mathematics, 23(3), Academic Publishing House of the Bulgarian Academy of Sciences, 2017.
[443]	Larsson, M. & Pulido, S. Polynomial preserving diffusions on compact quadric sets. Stochastic Processes and their Applications, 127(3):901-926, Elsevier, 2017.
[444]	Stanislas, V., Dalmasso, C. & Ambroise, C. Eigen-Epistasis for detecting Gene-Gene interactions. BMC Bioinformatics, 18:54, BioMed Central, 2017.
[445]	Camilli, F. & Corrias, L. Parabolic models for chemotaxis on weighted networks. Journal de Mathématiques Pures et Appliquées, 108(4):459-480, Elsevier, 2017.
[446]	Ankirchner, S., Blanchet-Scalliet, C. & Jeanblanc, M. Controlling the occupation time of an exponential martingale. Applied Mathematics and Optimization, 76(2):415-428, Springer Verlag (Germany), 2017.
[447]	Sadacca, B., Hamy-Petit, 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. Scientific Reports, 7(1):15126, Nature Publishing Group, 2017., (Author Correction : Sadacca, B., Hamy, A.-S., Laurent, C., Gestraud, P., Bonsang-Kitzis, H., Pinheiro, A., Abecassis, J., Neuvial, P., Reyal, F. (2018). New insight for pharmacogenomics studies from the transcriptional analysis of two large-scale cancer cell line panels (vol 7, 15126, 2016). Scientific Reports, 8, 1-1 https://www.nature.com/articles/s41598-018-36812-3 UT=WOS000453222300001).
[448]	Biessy, G. Continuous-time semi-markov inference of biometric laws associated with a long-term care insurance portfolio. ASTIN Bulletin, 47(2):527-561, Cambridge University Press (CUP), 2017.
[449]	Goubi, M., Bayad, A. & Hernane, M. Explicit and asymptotic formulae for Vasyunin-cotangent sums. Array, 102(116):155-174, Elsevier, 2017.
[450]	Stanislas, V., Dalmasso, C. & Ambroise, C. Eigen-Epistasis for detecting gene-gene interactions. BMC Bioinformatics, 18:np, BioMed Central, 2017.
[451]	El Karoui, N., Jeanblanc, M. & Jiao, Y. Dynamics of multivariate default system in random environment. Stochastic Processes and their Applications, 127(12):3943-3965, Elsevier, 2017.
[452]	Rubin, J., Signerska-Rynkowska, J., Touboul, J. & Vidal, A. Wild oscillations in a nonlinear neuron model with resets: (I) Bursting, spike adding and chaos. Discrete and Continuous Dynamical Systems - Series B, 22:3967-4002, American Institute of Mathematical Sciences, 2017.
[453]	Vrins, F. & Jeanblanc, M. Conic Martingales from Stochastic Integrals. Mathematical Finance, Wiley, 2017.
[454]	Konakov, V. & Menozzi, S. Weak Error for the Euler Scheme Approximation of Diffusions with Non-Smooth Coefficients *. Electronic Journal of Probability, 22(46):47p, Institute of Mathematical Statistics (IMS), 2017., (45 pages).
[455]	Huet, S. & Taupin, M.L. Metamodel construction for sensitivity analysis. ESAIM: Proceedings and Surveys, 60:27-69, EDP Sciences, 2017.
[456]	Kucukoglu, I., Bayad, A. & Simsek, Y. k-ary Lyndon Words and Necklaces Arising as Rational Arguments of Hurwitz--Lerch Zeta Function and Apostol--Bernoulli Polynomials. Mediterranean Journal of Mathematics, 14(6):223, Springer Verlag, 2017.
[457]	Chamorro, D., Gilles Lemarie-Rieusset, P. & Mayoufi, K. Local stability of energy estimates for the Navier--Stokes equations. In International Conference on Vorticity, Rotation and Symmetry (IV)-Complex Fluids and the Issue of Regularity, 710:53-64, 2017.
[458]	Allart, T., Levieux, G., Pierfitte, M., Guilloux, A. & Natkin, S. Difficulty influence on motivation over time in video games using survival analysis. In FDG - Foundation of Digital Games, 6, ACM Press, 2017.
[459]	Tabouy, T., Barbillon, P. & Chiquet, J. Variational Inference for Stochastic Block Models from Sampled Data. , 2017., (working paper or preprint).
[460]	Bernard, J.M. Fully non-homogeneous problem of two-dimensional second grade fluids. , 2017., (working paper or preprint).
[461]	Coculescu, D. & Jeanblanc, M. SOME NO-ARBITRAGE RULES FOR CONVERGING ASSET PRICES UNDER SHORT-SALES CONSTRAINTS. , 2017., (working paper or preprint).
[462]	Clement, E., Gloter, A. & Nguyen, H. LAMN property for the drift and volatility parameters of a SDE driven by a stable Lévy Process. , 2017., (working paper or preprint).
[463]	Crepey, S. & Song, S. INVARIANCE TIMES *. , 2017., (working paper or preprint).
[464]	Crepey, S. & Song, S. Invariance properties in the dynamic gaussian copula model *. , 2017., (working paper or preprint).
[465]	Clement, E., Gloter, A. & Nguyen, H. Asymptotics in small time for the density of a stochastic differential equation driven by a stable LEVY process. , 2017., (working paper or preprint).
[466]	Armenti, Y. & Crepey, S. Central Clearing Valuation Adjustment. , 2017., (working paper or preprint).
[467]	Bielecki, T.R., Jeanblanc, M.R. & Sezer, A.D. Joint densities of hitting times for finite state Markov processes. , 2017., (working paper or preprint).
[468]	Brigo, D., Jeanblanc, M. & Vrins, F. SDEs with uniform distributions: Peacocks, Conic martingales and mean reverting uniform diffusions. , 2017., (working paper or preprint).
[469]	Jeanblanc, M., Li, L. & Song, S. An enlargement of filtration formula with applications to multiple non-ordered default times. , 2017., (working paper or preprint).
[470]	Konakov, V., Menozzi, S. & Molchanov, S. The Brownian Motion on Aff(R) and Quasi-Local Theorems. , 2017., (working paper or preprint).
2016
[471]	Biessy, G. Modélisation semi-markovienne de la perte d'autonomie chez les personnes âgées : application à l'assurance dépendance. , 2016. (Theses)
[472]	Romo Romero, R. Filtration enlargement and applications to finance. , 2016. (Theses)
[473]	Pierre-Jean, M. Development of statistical methods for DNA copy number analysis in cancerology.. , 2016. (Theses)
[474]	Comets, F., Falconnet, M., Loukianov, O. & Loukianova, D. Maximum likelihood estimator consistency for recurrent random walk in a parametric random environment with finite support. Stochastic Processes and their Applications, 126(11):3578-3604, Elsevier, 2016.
[475]	Bayad, A., Hernane, M.O. & Togbe, A. On extended Eulerian numbers. Functiones et Approximatio Commentarii Mathematici, 55(1):113-130, Poznań : Wydawnictwo Naukowe Uniwersytet im. Adama Mickiewicza, 2016.
[476]	Koumakis, E., Bouaziz, M., Dieude, P., Cauvet, A., Ruiz, B., Airo, P., Cusi, D., Matucci-Cerinic, M., Salvi, E., Cuome, G., Hachulla, E., Diot, E., Caramaschi, P., Riccieri, V., Avouac, J. & Allanore, Y. A candidate gene study identifies a haplotype of CD2 as novel susceptibility factor for systemic sclerosis. Clinical and experimental rheumatology, 34(5):S43-S48, Clinical and Experimental Rheumatology Sas, 2016.
[477]	Garnier, A., Vidal, A. & Benali, H. A Theoretical Study on the Role of Astrocytic Activity in Neuronal Hyperexcitability by a Novel Neuron-Glia Mass Model. Journal of Mathematical Neuroscience, 6(1):10, BioMed Central, 2016.
[478]	Bayad, A., Filipin, A. & Togbe, A. Extension of a parametric family of Diophantine triples in Gaussian integers. Acta Mathematica Hungarica, 148(2):312-327, Springer Verlag, 2016.
[479]	Ghirelli, C., Sadacca, B., Reyal, F., Zollinger, R., Michea, P., Sirven, P., Pattarini, L., Martinez-Cingolani, C., Guillot-Delost, M., Nicolas, A., Scholer-Dahirel, A. & Soumelis, V. No evidence for TSLP pathway activity in human breast cancer. OncoImmunology, 5(8):1-32, Taylor \& Francis, 2016.
[480]	Bayad, A. & Robert, G. The Jacobi form D\_L, theta functions, and Eisenstein series. Journal de Théorie des Nombres de Bordeaux, 28(1):75-88, Société Arithmétique de Bordeaux, 2016.
[481]	Carapito, R., Jung, N., Kwemou, M., Untrau, M., Michel, S., Pichot, A., Giacometti, G., Macquin, C., Ilias, W., Morlon, A., Kotova, I., Apostolova, P., Schmitt-Graeff, A., Cesbron, A., Gagne, K., Oudshoorn, M., van Der Holt, B., Labalette, M., Spierings, E., Picard, C., Loiseau, P., Tamouza, R., Toubert, A., Parissiadis, A., Dubois, V., Lafarge, X., Maumy-Bertrand, M., Bertrand, F., Vago, L., Ciceri, F., Paillard, C., Querol, S., Sierra, J., Fleischhauer, K., Nagler, A., Labopin, M., Inoko, H., von Dem Borne, P., Kuball, J.H.E., Ota, M., Katsuyama, Y., Michallet, M., Lioure, B., Peffault de Latour, R., Blaise, D., Cornelissen, J.J., Yakoub-Agha, I., Claas, F., Moreau, P., Milpied, N., Charron, D., Mohty, M., Zeiser, R., Socie, G. & Bahram, S. Matching for the non-conventional MHC-I MICA gene significantly reduces the incidence of acute and chronic GVHD. Blood, American Society of Hematology, 2016.
[482]	Brouard, C., Szafranski, M. & d'Alche-Buc, F. Input output Kernel regression : supervised and semi-supervised structured output prediction with operator-valued kernels. Journal of Machine Learning Research, 17:np, Microtome Publishing, 2016.
[483]	Guilloux, A., Lemler, S. & Taupin, M.L. Adaptive kernel estimation of the baseline function in the Cox model with high-dimensional covariates. Journal of Multivariate Analysis, 148:141-159, Elsevier, 2016.
[484]	Kwemou, M. Non-asymptotic oracle inequalities for the Lasso and Group Lasso in high dimensional logistic model. ESAIM: Probability and Statistics, 20:309-331, EDP Sciences, 2016.
[485]	Profeta, C. & Simon, T. On the harmonic measure of stable processes. Séminaire de Probabilités, XLVIII:325-345, Springer-Verlag, 2016.
[486]	Denis, L. & Nguyen, T.M. Malliavin calculus for Markov chains using perturbations of time. Stochastics: An International Journal of Probability and Stochastic Processes, 88(6):813-840, Taylor \& Francis: STM, Behavioural Science and Public Health Titles, 2016.
[487]	Bonsang-Kitzis, H., Sadacca, B., Hamy-Petit, A.S., Moarii, M., Pinheiro, A., Laurent, C. & Reyal, F. Biological network-driven gene selection identifies a stromal immune module as a key determinant of triple-negative breast carcinoma prognosis. OncoImmunology, 5(1), Taylor \& Francis, 2016.
[488]	Kim, D. & Bayad, A. Polygon Numbers Associated with the Sum of Odd Divisors Function. Experimental Mathematics, 26(3):287-297, Taylor \& Francis, 2016.
[489]	Bayad, A. & Kim, T. Identities for Apostol-type Frobenius--Euler polynomials resulting from the study of a nonlinear operator. Russian Journal of Mathematical Physics, 23(2):164-171, MAIK Nauka/Interperiodica, 2016.
[490]	Bayad, A., Somashekara, D. & Narasimha Murthy, K. On finite forms of Bailey's 2\psi2 transformation formulae and their applications. International Journal of Number Theory, 12(08):2189-2200, World Scientific Publishing, 2016.
[491]	Kramkov, D. & Pulido, S. A system of quadratic BSDEs arising in a price impact model. The Annals of Applied Probability, 26(2):794-817, Institute of Mathematical Statistics (IMS), 2016.
[492]	Kelbert, M., Konakov, V. & Menozzi, S. WEAK ERROR FOR CONTINUOUS TIME MARKOV CHAINS RELATED TO FRACTIONAL IN TIME P(I)DES. Stochastic Processes and their Applications, 126(4):1145-1183, Elsevier, 2016.
[493]	Dumas, A.S., Taconnat, L., Barbas, E., Rigaill, G., Catrice, O., Bernard, D., Benamar, A., Macherel, D., El Amrani, A. & Berthome, R. Unraveling the early molecular and physiological mechanisms involved in response to phenanthrene exposure. BMC Genomics, 17(1):818, BioMed Central, 2016.
[494]	Kramkov, D. & Pulido, S. Stability and analytic expansions of local solutions of systems of quadratic BSDEs with applications to a price impact model. SIAM Journal on Financial Mathematics, 7(1):567-587, Society for Industrial and Applied Mathematics , 2016.
[495]	Chamorro, D. & Menozzi, S. Fractional operators with singular drift: Smoothing properties and Morrey-Campanato spaces. Revista Matemática Iberoamericana, 32(4):1445-1499, European Mathematical Society, 2016.
[496]	Huang, L. & Menozzi, S. A Parametrix Approach for some Degenerate Stable Driven SDEs. Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques, 52(4):1925-1975, Institut Henri Poincaré (IHP), 2016., (45 pages).
[497]	Bayad, A. & Navas, L. Möbius inversion formulas related to the Fourier expansions of two-dimensional Apostol--Bernoulli polynomials. Journal of Number Theory, 163:457-473, Elsevier, 2016.
[498]	Donati-Martin, C., Lejay, A. & Rouault, A. (eds). Séminaire de Probabilités XLVIII. , 2168:506, Springer, 2016.
[499]	Vacher, C., Tamaddoni-Nezhad, A., Kamenova, S., Dubois Peyrard, N., Moalic, Y., Sabbadin, R., Schwaller, L., Chiquet, J., Alex Smith, M., Vallance, J., Fievet, V., Jakuschkin, B. & Bohan, D. Learning ecological networks from next-generation sequencing data. In Ecosystem Services: From Biodiversity to Society, Part 2, 54:np, 2016.
[500]	Lemarie-Rieusset, P. Parabolic Morrey spaces and mild solutions to Navier--Stokes equations.. In Recent Progress in the Theory of the Euler and Navier--Stokes Equationspages 126-136, Cambridge University Press, 2016.
[501]	Clement, F. & Vidal, A. Modeling the Dynamics of Gonadotropin-Releasing Hormone (GnRH) Secretion in the Course of an Ovarian Cycle . In Computational Neuroendocrinology, John Wiley \& Sons, 2016.
[502]	Aubouin, N., Coblence, E., Dalmasso, C. & Kletz, F. Transformation des organisations culturelles et des métiers : quelles formes de reconnaissance ? . In STP\&A, 2016.
[503]	Maftei, R., Bossy, M., Minier, J.P. & Profeta, C. A stochastic approach to colloidal particle collision/agglomeration. In ICMF, 2016.
[504]	Aksamit, A., Choulli, T., Deng, J. & Jeanblanc, M. Non-Arbitrage under a Class of Honest Times. , 2016., (working paper or preprint).
[505]	Bernard, J.M. Solutions H>1 of the steady transport equation in a bounded polygon with a fully non-homogeneous velocity. , 2016., (working paper or preprint).
[506]	Brigo, D., Jeanblanc, M. & Vrins, F. SDEs with uniform distributions: Peacocks, Conic martingales and mean reverting uniform diffusions. , 2016., (working paper or preprint).
[507]	Clement, E. & Gloter, A. An application of the KMT construction to the pathwise weak error in the Euler approximation of one-dimensional diffusion process with linear diffusion coefficient. , 2016., (working paper or preprint).
[508]	Biessy, G. A semi-Markov model with pathologies for Long-Term Care Insurance. , 2016., (working paper or preprint).
[509]	Chamorro, D., Lemarie-Rieusset, P.G. & Mayoufi, K. The role of the pressure in the partial regularity theory for weak solutions of the Navier--Stokes equations. , 2016., (working paper or preprint).
[510]	Aksamit, A., Choulli, T. & Jeanblanc, M. CLASSIFICATION OF RANDOM TIMES AND APPLICATIONS. , 2016., (working paper or preprint).
[511]	Gloter, A., Loukianova, D. & Mai, H. Jump filtering and efficient drift estimation for lévy-driven sde's. , 2016., (working paper or preprint).
[512]	Garnier, A., Vidal, A. & Benali, H. A theoretical study on the role of astrocytic activity in neuronal hyperexcitability by a novel neuron-glia mass model. , 2016., (working paper or preprint).
[513]	Albanese, C., Caenazzo, S. & Crepey, S. Capital Valuation Adjustment and Funding Valuation Adjustment. , 2016., (working paper or preprint).
[514]	Jeanblanc, M., Lim, T. & Agram, N. Some existence results for advanced backward stochastic differential equations with a jump time. , 2016., (working paper or preprint).
[515]	Celisse, A., Marot, G., Pierre-Jean, M. & Rigaill, G. New efficient algorithms for multiple change-point detection with kernels. , 2016., (working paper or preprint).
[516]	Aksamit, A., Choulli, T., Deng, J. & Jeanblanc, M. NON-ARBITRAGE UNDER ADDITIONAL INFORMATION FOR THIN SEMIMARTINGALE MODELS. , 2016., (working paper or preprint).
2015
[517]	Ly Vath, V. Quelques contributions en finance mathématique--Risque de Liquidité et Finance d'entreprise. , 2015.
[518]	Chiquet, J. Contributions to Sparse Methods for Complex Data Analysis. , 2015.
[519]	Nguyen, T.M. Calcul de Malliavin pour chaînes de Markov et risque de contrepartie. , 2015. (Theses)
[520]	Clairon, Q. Nouvelles méthodes de régularisation du problème inverse d'estimation de paramètres dans des équations différentielles ordinaires. , 2015. (Theses)
[521]	Gaigi, M. Problèmes de contrôle stochastique sous contraintes de risque de liquidité. , 2015. (Theses)
[522]	Dehman, A. Spatial Clustering of Linkage Disequilibrium blocks for Genome-Wide Association Studies. , 2015. (Theses)
[523]	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.
[524]	Cinti, C., Menozzi, S. & Polidoro, S. Two-Sided Bounds for Degenerate Processes with Densities Supported in Subsets of \Bbb R >N . Potential Anal., 42(1):39-98, 2015.
[525]	Profeta, C. & Simon, T. Windings of the stable Kolmogorov process. ALEA : Latin American Journal of Probability and Mathematical Statistics, XII:115-127, Instituto Nacional de Matemática Pura e Aplicada (Rio de Janeiro, Brasil) [2006-....], 2015.
[526]	Clement, E. & Gloter, A. Local Asymptotic Mixed Normality property for discretely observed stochastic differential equations driven by stable Léevy processes. Stochastic Processes and their Applications, 123(6):2316-2352, Elsevier, 2015.
[527]	Picchetti, T., Chiquet, J., Elati, M., Neuvial, P., Nicolle, R. & Birmele, E.E. A model for gene deregulation detection using expression data. BMC Systems Biology, 9, BioMed Central, 2015.
[528]	Blanchet-Scalliet, C., Chevalier, E., Kharroubi, I. & Lim, T. Max-Min optimization problem for Variable Annuities pricing. International Journal of Theoretical and Applied Finance, World Scientific Publishing, 2015.
[529]	Cinti, C., Menozzi, S. & Polidoro, S. Two-sided bounds for degenerate processes with densities supported in subsets of R>N. Potential Analysis, 42(1):39-98, Springer Verlag, 2015., (65 pages).
[530]	El Karoui, N., Jeanblanc, M. & Jiao, Y. Density approach in modelling successive defaults. SIAM Journal on Financial Mathematics, 6(1):1-21, Society for Industrial and Applied Mathematics , 2015.
[531]	Dehman, A., Ambroise, C. & Neuvial, P. Performance of a blockwise approach in variable selection using linkage disequilibrium information. BMC Bioinformatics, 16:14, BioMed Central, 2015.
[532]	Aksamit, A., Choulli, T. & Jeanblanc, M. On an Optional Semimartingale Decomposition and the Existence of a Deflator in an Enlarged Filtration. Séminaire de Probabilités, Springer-Verlag, 2015.
[533]	Delarue, F., Menozzi, S. & Nualart, E. The Landau Equation for Maxwellian molecules and the Brownian Motion on SO\_R(N).. Electronic Journal of Probability, 20(92):1-39, Institute of Mathematical Statistics (IMS), 2015., (38).
[534]	Andreoletti, P., Loukianova, D. & Matias, C. Hidden Markov model for parameter estimation of a random walk in a Markov environment. ESAIM: Probability and Statistics, 19:605-625, EDP Sciences, 2015.
[535]	Grbac, Z., Crepey, S., Ngor, N. & Skovmand, D. A Lévy HJM multiple-curve model with application to CVA computation. Quantitative Finance, 15(3):401-419, Taylor \& Francis (Routledge), 2015.
[536]	Garnier, A., Vidal, A., Huneau, C. & Benali, H. A neural mass model with direct and indirect excitatory feedback loops: identification of bifurcations and temporal dynamics. Neural Computation, 27(2):329-364, Massachusetts Institute of Technology Press (MIT Press), 2015.
[537]	Guilloux, A., Lemler, S. & Taupin, M.L. Adaptive estimation of the baseline hazard function in the Cox model by model selection, with high-dimensional covariates. Journal of Statistical Planning and Inference, 171:38-62, Elsevier, 2015.
[538]	Jeanblanc, M., Mastrolia, T., Possamai, D. & Reveillac, A. Utility maximization with random horizon: a BSDE approach. International Journal of Theoretical and Applied Finance, 18(7):1550045, World Scientific Publishing, 2015.
[539]	Kharroubi, I. & Lim, T. A decomposition approach for the discrete-time approximation of FBSDEs with a jump. Random Operators and Stochastic Equations, 23(2), De Gruyter, 2015., (31 pages).
[540]	Dalmasso, C., Carpentier, W., Guettier, C., Camilleri-Broet, S., Vendramini Borelli, W., Campos dos Santos, C.R., Castaing, D., Duclos-Vallee, J.C. & Broet, P. Patterns of chromosomal copy-number alterations in intrahepatic cholangiocarcinoma. BMC Cancer, 15:126, BioMed Central, 2015.
[541]	Kim, D., Bayad, A. & Ikikardes, N.Y. CERTAIN COMBINATORIC CONVOLUTION SUMS AND THEIR RELATIONS TO BERNOULLI AND EULER POLYNOMIALS. Journal of the Korean Mathematical Society, 52(3):537-565, The Korean Mathematical Society, 2015.
[542]	Bayad, A. & Navas, L. Algebraic properties and Fourier expansions of two-dimensional Apostol--Bernoulli and Apostol--Euler polynomials. Applied Mathematics and Computation, 265:883-892, Elsevier, 2015.
[543]	Ayad, M., Bayad, A. & Kihel, O. Denominators of algebraic numbers in a number field. Journal of Number Theory, 149:1-14, Elsevier, 2015.
[544]	Pierre-Jean, M., Rigaill, G. & Neuvial, P. Performance evaluation of DNA copy number segmentation methods. Briefings in Bioinformatics, 16(4):600-615, Oxford University Press (OUP), 2015.
[545]	Profeta, C. & Simon, T. Persistence of integrated stable processes. Probability Theory and Related Fields, 162(3):463-485, Springer Verlag, 2015.
[546]	Chambaz, A. & Neuvial, P. tmle.npvi: targeted, integrative search of associations between DNA copy number and gene expression, accounting for DNA methylation: Fig. 1.. Bioinformatics, 31(18):3054-6, Oxford University Press (OUP), 2015.
[547]	Sagna, A. & Profeta, C. Conditional hitting time estimation in a nonlinear filtering model by the Brownian bridge method. Stochastics: An International Journal of Probability and Stochastic Processes, 87(1):112-141, Taylor \& Francis: STM, Behavioural Science and Public Health Titles, 2015.
[548]	Latouche, P., Birmele, E. & Ambroise, C. Handbook of Mixed Membership Models and Their Applications. , pages 547-568Chapman and Hall, 2015.
[549]	Ambroise, C., Chiquet, J. & Szafranski, M. A greedy great approach to learn with complementary structured datasets. In Greed Is Great ICML Workshop, 2015.
[550]	Franchinard, M.L., Sapet, F., Derozier, S.S., Samson, F.F. & Gibrat, J.F. View and synchronize several genotypes with IGV. In JOBIM 2015 - Journées Ouvertes Biologie Informatique Mathématiques, pages 1 p., 2015., (Événement(s) lié(s) : - AG France Genomique; Paris (FRA) - (2015-11-24 - 2015-11-25)).
[551]	Garnier, A., Huneau, C., Vidal, A., Wendling, F. & Benali, H. Complex dynamics for the study of neural activity in the human brain. In Journées RITS 2015, pages pp 102-103, 2015., (Congrès sous l'égide de la Société Française de Génie Biologique et Médical (SFGBM).).
[552]	Becu, J.M., Grandvalet, Y., Ambroise, C. & Dalmasso, C. Significance testing for variable selection in high-dimension. In Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), pages 1-8, IEEE, 2015.
[553]	Chiquet, J., Szafranski, M. & Ambroise, C. A greedy great approach to learn with complementary structured datasets. , pages np, 2015., (Poster - HAL Id : hal-01246419, version 1 HAL Id : hal-01246419, version 1).
[554]	Daccord, N., Corel, E., Correia, D., Louis, A., Debat, H., Daric, V., Nadal, M., Devauchelle, C. & Samson, F.F. TopoIBase: a comprehensive database dedicated to type IA DNA-topoisomerases. In JOBIM 2015 - Journées Ouvertes Biologie Informatique Mathématiques, 2015.
[555]	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.
[556]	Pierre-Jean, M. Non parametric DNA copy number segmentation using kernels. , 2015., (SMPGD'2015).
[557]	Becu, J.M., Grandvalet, Y., Ambroise, C. & Dalmasso, C. Beyond Support in Two-Stage Variable Selection. , 2015., (working paper or preprint).
[558]	Lazar, O. & Lemarie-Rieusset, P.G. Infinite energy solutions for a 1D transport equation with nonlocal velocity. , 2015., (working paper or preprint).
[559]	Gloter, A. & Martinez, M. Bouncing skew Brownian motions. , 2015., (working paper or preprint).
[560]	Kwemou, M., Taupin, M.L. & Tocquet, A.S. MODEL SELECTION IN LOGISTIC REGRESSION. , 2015., (working paper or preprint).
[561]	Biessy, G. Continuous time semi-Markov inference of biometric laws associated with a Long-Term Care Insurance portfolio. , 2015., (working paper or preprint).
[562]	Brouard, C., d'Alche-Buc, F. & Szafranski, M. Input Output Kernel Regression. , 2015., (working paper or preprint).
[563]	Aksamit, A., Jeanblanc, M. & Rutkowski, M. PREDICTABLE REPRESENTATION PROPERTY FOR PROGRESSIVE ENLARGEMENTS OF A POISSON FILTRATION. , 2015., (working paper or preprint).
[564]	Guilloux, A., Lemler, S. & Taupin, M.L. Adaptive kernel estimation of the baseline function in the Cox model with high-dimensional covariates. , 2015., (working paper or preprint).
2014
[565]	Kwemou, M. Réduction de dimension en régression logistique, application aux données ACTU-PALU. , 2014. (Theses)
[566]	Lemler, S. Estimation for counting processes with high-dimensional covariates. , 2014. (Theses)
[567]	Aksamit, A. Random times, enlargement of filtration and arbitrages. , 2014. (Theses)
[568]	Lemler, S. Estimation for counting processes with high-dimensional covariates. , 2014. (Theses)
[569]	Latouche, P., Birmele, E. & Ambroise, C. Model Selection in Overlapping Stochastic Block Models. Electronic Journal of Statistics, 8:762-794, 2014.
[570]	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).
[571]	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).
[572]	Falconnet, M., Loukianova, D. & Matias, C. Asymptotic normality and efficiency of the maximum likelihood estimator for the parameter of a ballistic random walk in a random environment. Mathematical Methods of Statistics, 23(1):1-19, 2014., (http://hal.archives-ouvertes.fr/hal-00783980).
[573]	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.
[574]	Nguyen, V. & Matias, C. Nonparametric estimation of the density of the alternative hypothesis in a multiple testing setup. Application to local false discovery rate estimation. ESAIM: Probab. and Statist., eFirst, 2014., (http://arxiv.org/abs/1210.1547).
[575]	Nguyen, V. & Matias, C. On efficient estimators of the proportion of true null hypotheses in a multiple testing setup. Scandinavian Journal of Statistics, 00, 2014., (http://hal.archives-ouvertes.fr/hal-00647082/fr/).
[576]	Pierre-Jean, M., Rigaill, G. & Neuvial, P. Performance evaluation of DNA copy number segmentation methods. Briefings in Bioinformatics, 2014.
[577]	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)).
[578]	crepey, S. & Rahal, A. Simulation/regression pricing schemes for CVA computations on CDO tranches. Comm. Statist. Theory Methods, 43(7):1390-1408, 2014.
[579]	Achdou, Y., Camilli, F. & Corrias, L. On numerical approximation of the Hamilton-Jacobi-transport system arising in high frequency approximations. Discrete Contin. Dyn. Syst. Ser. B, 19(3):629-650, 2014.
[580]	Ankirchner, S., Jeanblanc, M. & Kruse, T. BSDEs with singular terminal condition and a control problem with constraints. SIAM J. Control Optim., 52(2):893-913, 2014.
[581]	Ankirchner, S., Jeanblanc, M. & Kruse, T. BSDEs with Singular Terminal Condition and a Control Problem with Constraints. SIAM Journal on Control and Optimization, 2014.
[582]	Banica, V., Faou, E. & Miot, E. Collisions of Vortex Filament Pairs. J. Nonlinear Sci., 24(6):1263-1284, 2014.
[583]	Banica, V. & Ignat, L.I. Dispersion for the Schrödinger equation on the line with multiple Dirac delta potentials and on delta trees. Anal. PDE, 7(4):903-927, 2014.
[584]	Bayad, A. & Beck, M. Relations for Bernoulli-Barnes numbers and Barnes zeta functions. Int. J. Number Theory, 10(5):1321-1335, 2014.
[585]	Bayad, A. & Chikhi, J. Apostol-Euler polynomials and asymptotics for negative binomial reciprocals. Adv. Stud. Contemp. Math. (Kyungshang), 24(1):33-37, 2014.
[586]	Bayad, A. & Hamahata, Y. Multiple Dedekind-Rademacher sums in function fields. Int. J. Number Theory, 10(5):1291-1307, 2014.
[587]	Bayad, A. & Hamahata, Y. Multiple Dedekind--Rademacher sums in finite fields. Ramanujan J., 35(3):493-502, 2014.
[588]	Bayad, A. & Simsek, Y. Convolution identities on the Apostol-Hermite base of two variables polynomials. Differ. Equ. Dyn. Syst., 22(3):309-318, 2014.
[589]	Bayad, A., Simsek, Y. & Srivastava, H.M. Some array type polynomials associated with special numbers and polynomials. Appl. Math. Comput., 244:149-157, 2014.
[590]	Bielecki, T.R., Cousin, A., Crepey, .S. & Herbertsson, A. Dynamic Hedging of Portfolio Credit Risk in a Markov Copula Model. Journal of Optimization Theory and Applications, 161(1):90-102, 2014.
[591]	Bielecki, T.R., Cousin, A., Crepey, S. & Herbertsson, A. A bottom-up dynamic model of portfolio credit risk with stochastic intensities and random recoveries. Comm. Statist. Theory Methods, 43(7):1362-1389, 2014.
[592]	Bielecki, T.R., Cousin, A., Crepey, S. & Herbertsson, A. Dynamic hedging of portfolio credit risk in a Markov copula model. J. Optim. Theory Appl., 161(1):90-102, 2014.
[593]	Chamorro, D. A molecular method applied to a non-local PDE in stratified Lie groups. J. Math. Anal. Appl., 413(2):583-608, 2014.
[594]	Chassagneux, J.F. & crepey, S. Doubly reflected BSDEs with call protection and their approximation. ESAIM: Probability and Statistics, 18:613-641, 2014.
[595]	Clement, E., Delattre, S. & Gloter, A. Asymptotic lower bounds in estimating jumps. Bernoulli, 20(3):1059-1096, 2014.
[596]	Clement, E. & Gloter, A. Asymptotic lower bounds in estimating jumps.. A paraitre Bernoulli, 2014.
[597]	Clement, E. & Gloter, A. Local Asymptotic Mixed Normality property for discretely observed stochastic differential equations driven by stable Lévy. Stochastic Processes and their Applications, 2014.
[598]	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.
[599]	Corrias, L., Escobedo, M. & Matos, J. Existence, uniqueness and asymptotic behavior of the solutions to the fully parabolic Keller-Segel system in the plane. J. Differential Equations, 257(6):1840-1878, 2014.
[600]	Denis, L., Matoussi, A. & Zhang, J. The obstacle problem for quasilinear stochastic PDEs: analytical approach. Ann. Probab., 42(3):865-905, 2014.
[601]	Denis, L., Matoussi, A. & Zhang, J. Maximum principle for quasilinear stochastic PDEs with obstacle. Electron. J. Probab., 19:no. 44, 32, 2014.
[602]	El Karoui, N., Jeanblanc, M. & Jiao, J. Density approach in modelling multi-defaults. SIAM Journal on Financial Mathematics, 2014.
[603]	Falconnet, M., Loukianova, D. & Matias, C. Asymptotic normality and efficiency of the maximum likelihood estimator for the parameter of a ballistic random walk in a random environment. Math. Methods Statist., 23(1):1-19, 2014.
[604]	Fontana, C. A note on arbitrage, approximate arbitrage and the fundamental theorem of asset pricing. Stochastics, 86(6):922-931, 2014.
[605]	Fontana, C., Grbac, Z., 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.
[606]	Fontana, C., Jeanblanc, M. & Song, S. On arbitrages arising with honest times. Finance Stoch., 18(3):515-543, 2014.
[607]	Fontana, C., Jeanblanc, M. & Song, S. On arbitrages arising with honest times. Finance and Stochastics, 2014.
[608]	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.
[609]	Geman, H. & Jeanblanc, M. Marc Yor: a beautiful mind has disappeared. Stochastic Process. Appl., 124(6):v-vii, 2014.
[610]	Hachicha, I. Global existence for a damped wave equation and convergence towards a solution of the Navier-Stokes problem. Nonlinear Anal., 96:68-86, 2014.
[611]	Henry, C., Minier, J.P., Mohaupt, M., Profeta, C., Pozorski, J. & Taniere, A. A stochastic approach for the simulation of collisions between colloidal particles at large time steps. International Journal of Multiphase Flow, 61:94-107, 2014.
[612]	Jeanblanc, M. & Hirsch, F. Marc Yor 1949--2014. Mataplipages 51-55, 2014., (With remembrances of Yor by Bernard Roynette).
[613]	Jeanblanc, M. & Leniec, M. Role of Information In Pricing Default-Sensitive Contingent Claims. International Journal of Theoretical and Applied Finance, 2014.
[614]	Kharroubi, I. & Lim, T. A decomposition approach for the discrete-time approximation ofFBSDEs with a jump. Random Operators and Stochastic Equations, 2014.
[615]	Kharroubi, I. & Lim, T. Progressive enlargement of filtrations and backward stochastic differential equations with jumps. J. Theoret. Probab., 27(3):683-724, 2014.
[616]	Kim, D., 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.
[617]	Lemarie-Rieusset, P.G. Erratum to: Multipliers and Morrey spaces [\refcno 3034598]. Potential Anal., 41(4):1359-1362, 2014.
[618]	Locherbach, E., Loukianov, O. & Loukianova, D. Spectral condition, hitting times and Nash inequality. Ann. Inst. Henri Poincaré Probab. Stat., 50(4):1213-1230, 2014.
[619]	Profeta, C. On Dufresne's translated perpetuity and some Black-Scholes annuities. Analitika, 7(1):7-19, 2014.
[620]	Profeta, C. Some limiting laws associated with the integrated Brownian motion. ESAIM: P\&S, 2014.
[621]	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.
[622]	Profeta, C. & Simon, T. Persistence of integrated stable processes. Probability Theory and Related Fields, 2014.
[623]	Quenez, M.C. & Lim, T. Portfolio optimization in a default model under full/partial information. Probability in the Engineering and Informational Sciences , 2014.
[624]	Song, S. Optional splitting formula in a progressively enlarged filtration. ESAIM Probability and Statistics, 18:829-853, 2014.
[625]	Srivastava, H.M., Gaboury, S. & Bayad, A. Expansion formulas for an extended Hurwitz-Lerch zeta function obtained via fractional calculus. Adv. Difference Equ., pages 2014:169, 17, 2014.
[626]	Srivastava, H., Gaboury, S. & Bayad, A. Expansion formulas for an extended Hurwitz-Lerch zeta function obtained via fractional calculus. Advances in Difference Equations, 2014(1):169, Hindawi Publishin Corporation / SpringerOpen, 2014.
[627]	Kim, D., Bayad, A. & Park, J. Euler Polynomials and Combinatoric Convolution Sums of Divisor Functions with Even Indices. Abstract and Applied Analysis, 2014:1-6, Hindawi Publishing Corporation, 2014.
[628]	Banica, V., Faou, E. & Miot, E. Collisions of vortex filament pairs. Journal of Nonlinear Science, 24(6):1263-1284, Springer Verlag, 2014.
[629]	Corrias, L., Matos, J. & Escobedo, M. Existence, uniqueness and asymptotic behavior of the solutions to the fully parabolic Keller--Segel system in the plane. Journal of Differential Equations, 257(6):1840-1878, Elsevier, 2014.
[630]	Bayad, A. & Beck, M. Relations for Bernoulli--Barnes numbers and Barnes zeta functions. International Journal of Number Theory, 10(05):1321-1335, World Scientific Publishing, 2014.
[631]	Srivastava, H., Gaboury, S. & Bayad, A. Expansion formulas for an extended Hurwitz-Lerch zeta function obtained via fractional calculus. Advances in Difference Equations, 2014(1):169, Hindawi Publishin Corporation / SpringerOpen, 2014.
[632]	Lemarie-Rieusset, P.G. Erratum to ''Multipliers and Morrey spaces''. Potential Analysis, 41(4):1359-1362, Springer Verlag, 2014.
[633]	Bayad, A., Simsek, Y. & Srivastava, H. Some array type polynomials associated with special numbers and polynomials. Applied Mathematics and Computation, 244:149-157, Elsevier, 2014.
[634]	Bayad, A. & Hamahata, Y. Multiple Dedekind--Rademacher sums in finite fields. Ramanujan Journal, 35(3):493-502, Springer Verlag, 2014.
[635]	Dedecker, J., Samson, A. & Taupin, M.L. Estimation in autoregressive model with measurement error. ESAIM: Probability and Statistics, 18:277-307, EDP Sciences, 2014.
[636]	Fletcher, P.A., Clement, F., Vidal, A., Tabak, J. & Bertram, R. Interpreting frequency responses to dose-conserved pulsatile input signals in simple cell signaling motifs.. PLoS ONE, 9(4):e95613, Public Library of Science, 2014.
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[639]	Bayad, A. & Hamahata, Y. Multiple Dedekind--Rademacher sums in function fields. International Journal of Number Theory, 10(05):1291-1307, World Scientific Publishing, 2014.
[640]	Chalhoub, B., Denoeud, F., Liu, S., Parkin, I.A.P., Tang, H., Wang, X., Chiquet, J., Belcram, H., Tong, C., Samans, B., Correa, M., da Silva, C., Just, J., Falentin, C., Koh, C.S., Le Clainche, I., Bernard, M., Bento, P., Noel, B., Labadie, K., Alberti, A.A., Charles, M., Arnaud, D., Guo, H., Daviaud, C., Alamery, S., Jabbari, K., Zhao, M., Edger, P.P., Chelaifa-Ammari, H., Tack, D., Lassalle, G., Mestiri, I., Schnel, N., Le Paslier, M.C., Fan, C., Fan, G., Renault, V., Bayer, P.E., Golicz, A.A., Manoli, S., Lee, T.H., Dinh Thi, V.H., Chalabi, S., Hu, Q., Tollenaere, R., Lu, Y., Battail, C., Shen, J., Sidebottom, C.H.D., Wang, X., Canaguier, A., Chauveau, A., Berard, A., Deniot, G., Guan, M., Liu, Z., Sun, F., Lim, Y.P., Lyons, E., Town, C.D., Bancroft, I., Wang, X., Meng, J., Ma, J., Pires, J.C., King, G.J., Brunel, D., Delourme, R., Renard, M., Aury, J.M., Adams, K.L., Wincker, P., Batley, J., Snowdon, R.J., Tost, J., Edwards, D., Zhou, Y., Hua, W., Sharpe, A.G., Paterson, A.H. & Guan, C. Early allopolyploid evolution in the post-Neolithic Brassica napus oilseed genome. Science, 345(6199):950-953, American Association for the Advancement of Science (AAAS), 2014.
[641]	Bayad, A. Apostol-Euler polynomials and asymptotics for negative binomial reciprocals. Advanced Studies in Contemporary Mathematics. Memoirs of the Jangjeon Mathematical Society, 24(1):33-37, 2014.
[642]	Matias, C. & Robin, S. Modeling heterogeneity in random graphs through latent space models: a selective review. ESAIM: Proceedings, 47:55-74, EDP Sciences, 2014.
[643]	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 Processes and their Applications, 124(1):268-288, Elsevier, 2014.
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[664]	Pages, G. & Sagna, A. Recursive marginal quantization of the Euler scheme of a diffusion process. , 2014., (29 pages).
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[666]	Crepey, S. & Song, S. Counterparty risk and funding: Immersion and beyond. , 2014., (working paper or preprint).
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2013
[669]	Nguyen, V. Modèles de mélange semi-paramétriques et applications aux tests multiples. , 2013. (Theses)
[670]	Brito, I., Hupe, P., Neuvial, P. & Barillot, E. Stability-based comparison of class discovery methods for array-CGH profiles. PLoS One, 8(12):e81458, 2013.
[671]	Chelaifa, H., Chague, 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.
[672]	Neuvial, P. Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators. Journal of Machine Learning Research, 14():1423\−1459, 2013.
[673]	crepey, S. Preface [Frontiers of Counterparty Risk]. Int. J. Theor. Appl. Finance, 16(2):1302001-9, 2013.
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[675]	crepey, S., Jeanblanc, M. & Wu, D. Informationally dynamized Gaussian copula. Int. J. Theor. Appl. Finance, 16(2):1350008-29, 2013.
[676]	Aygunes, A.A., Bayad, A. & Simsek, Y. Hecke operators type and generalized Apostol-Bernoulli polynomials. Fixed Point Theory Appl., pages 2013:92, 11, 2013.
[677]	Banica, V. & Miot, E. Evolution, interaction and collisions of vortex filaments. Differential Integral Equations, 26(3-4):355-388, 2013.
[678]	Banica, V. & Vega, L. Stability of the self-similar dynamics of a vortex filament. Arch. Ration. Mech. Anal., 210(3):673-712, 2013.
[679]	Bayad, A. & Chikhi, J. Möbius inversion formulae for Apostol-Bernoulli type polynomials and numbers. Math. Comp., 82(284):2327-2332, 2013.
[680]	Bayad, A. & Chikhi, J. Reduction and duality of the generalized Hurwitz-Lerch zetas. Fixed Point Theory Appl., pages 2013:82, 14, 2013.
[681]	Bayad, A. & Gaboury, S. Generalized Dirichlet \(L\)-function of arbitrary order with applications. Adv. Stud. Contemp. Math. (Kyungshang), 23(4):607-619, 2013.
[682]	Bayad, A. & Goubi, M. Proof of the Möbius conjecture revisited. Proc. Jangjeon Math. Soc., 16(2):237-243, 2013.
[683]	Bayad, A. & Kim, T. Results on values of Barnes polynomials. Rocky Mountain J. Math., 43(6):1857-1869, 2013.
[684]	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.
[685]	Bayad, A. & Simsek, Y. Values of twisted Barnes zeta functions at negative integers. Russ. J. Math. Phys., 20(2):129-137, 2013.
[686]	Bindusree, A.R., Lokesha, V., Ranjini, P.S. & Bayad, A. Relation connecting Zagreb co-indices on three graph operators. Math. \AE terna, 3(5-6):433-448, 2013.
[687]	Callegaro, G., Jeanblanc, M. & Zargari, B. Carthaginian enlargement of filtrations. ESAIM Probab. Stat., 17:550-566, 2013.
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[692]	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.
[693]	Clement, E., Delattre, S. & Gloter, A. An infinite dimensional convolution theorem with applications to the efficient estimation of the integrated volatility. Stochastic Process. Appl., 123(7):2500-2521, 2013.
[694]	Eberlein, E. & Grbac, Z. Rating based Lévy Libor model. Math. Finance, 23(4):591-626, 2013.
[695]	Gaboury, S. & Bayad, A. Series representations at special values of generalized Hurwitz-Lerch zeta function. Abstr. Appl. Anal., pages Art. ID 975615, 8, 2013.
[696]	Gloter, A. & Martinez, M. Distance between two skew Brownian motions as a S.D.E. with jumps and law of the hitting time. Ann. Probab., 41(3A):1628-1655, 2013.
[697]	Hirsch, F. & Roynette, B. On \(\Bbb R>d\)-valued peacocks. ESAIM Probab. Stat., 17:444-454, 2013.
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[701]	Jouini, A. & Lemarie-Rieusset, P.G. Wavelet bases on the L-shaped domain. Phys. D, 254:12-17, 2013.
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[703]	Kim, D. & Bayad, A. Convolution identities for twisted Eisenstein series and twisted divisor functions. Fixed Point Theory Appl., pages 2013:81, 23, 2013.
[704]	Krupa, M., Vidal, A. & Clement, F. A network model of the periodic synchronization process in the dynamics of calcium concentration in GnRH neurons. J. Math. Neurosci., 3:Art. 4, 24, 2013.
[705]	Lemarie-Rieusset, P.G. Small data in an optimal Banach space for the parabolic-parabolic and parabolic-elliptic Keller-Segel equations in the whole space. Adv. Differential Equations, 18(11-12):1189-1208, 2013.
[706]	Lemarie-Rieusset, P.G. Multipliers and Morrey spaces. Potential Anal., 38(3):741-752, 2013.
[707]	Lemarie-Rieusset, P.G. Small data in an optimal Banach space for the parabolic-parabolic and parabolic-elliptic Keller-Segel equations in the whole space.. Diff. Integ. Eq. 18, 2013.
[708]	Lemarie-Rieusset, P.G. & Chamorro, D. Real Interpolation method, Lorentz spaces and refined Sobolev inequalities.. Journal of Functional Analysis 265, 2013.
[709]	Locherbach, E. & Loukianova, D. Polynomial deviation bounds for recurrent Harris processes having general state space. ESAIM Probab. Stat., 17:195-218, 2013.
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[711]	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.
[712]	Gloter, A. & Martinez, M. Distance between two skew Brownian motions as a SDE with jumps and law of the hitting time. The Annals of Probability, 41(3A), 2013., (27 pages).
[713]	Kim, D. & Bayad, A. Convolution identities for twisted Eisenstein series and twisted divisor functions. Fixed Point Theory and Applications, 2013(1):81, SpringerOpen, 2013.
[714]	Chevalier, E., Vath, V.L. & Scotti, S. An Optimal Dividend and Investment Control Problem under Debt Constraints. SIAM Journal on Financial Mathematics, 4(1):297-326, Society for Industrial and Applied Mathematics , 2013.
[715]	Aygunes, A.A., Bayad, A. & Simsek, Y. Hecke operators type and generalized Apostol-Bernoulli polynomials. Fixed Point Theory and Applications, 2013(1):92, SpringerOpen, 2013.
[716]	Bayad, A. Generalized dirichlet L-function of arbitrary order with applications. Advanced Studies in Contemporary Mathematics. Memoirs of the Jangjeon Mathematical Society, 23(4):607-619, 2013.
[717]	Bayad, A. Arithmetic properties of q-Barnes polynomials. Journal of Computational Analysis and Applications, 15(1):111-117, Springer Verlag, 2013.
[718]	Gaboury, S. & Bayad, A. Series Representations at Special Values of Generalized Hurwitz-Lerch Zeta Function. Abstract and Applied Analysis, 2013:1-8, Hindawi Publishing Corporation, 2013.
[719]	Bayad, A. & Simsek, Y. Convolution Identities on the Apostol--Hermite Base of Two Variables Polynomials. Differential Equations and Dynamical Systems, 22(3):309-318, 2013.
[720]	Bayad, A. & Chikhi, J. Reduction and duality of the generalized Hurwitz-Lerch zetas. Fixed Point Theory and Applications, 2013(1):82, SpringerOpen, 2013.
[721]	Bayad, A. Proof of the Möbius conjecture revisited. Proceedings of the Jangjeon Mathematical Society, 16(2):237-243, 2013.
[722]	Bayad, A. & Chikhi, J. Möbius inversion formulae for Apostol-Bernoulli type polynomials and numbers. Mathematics of Computation, 82(284):2327-2332, American Mathematical Society, 2013.
[723]	Bayad, A., Lokesha, V., Ranjini, P.S. & Bindusree, A. Relation connecting Zagreb co-indices on Three graph Operators. Mathematica Aeterna, 3(6):433-448, HILARIS LTD, 2013.
[724]	Bayad, A. & Kim, T. Results on values of Barnes polynomials. Rocky Mountain Journal of Mathematics, 43(6), Rocky Mountain Mathematics Consortium, 2013.
[725]	Bayad, A. & Simsek, Y. Values of twisted Barnes zeta functions at negative integers. Russian Journal of Mathematical Physics, 20(2):129-137, MAIK Nauka/Interperiodica, 2013.
[726]	Crepey, S. & Douady, R. Lois: credit and liquidity. Risk Magazine, 2013.
[727]	Crepey, S. & Douady, R. The Whys of the LOIS: Credit Skew and Funding Rates Volatility. Bloomberg Brief / Risk, pages 6-7, Bloomberg Laboratory, 2013.
[728]	crepey, S. Financial modeling. , pages xx+459Springer, Heidelberg, 2013., (A backward stochastic differential equations perspective, Springer Finance Textbooks).
[729]	Chiquet, J. & Limnios, N. Stochastic Reliability and Maintenance Modeling. , 9():, Springer, 2013.
[730]	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.
[731]	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.
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[738]	Banica, V. & Vega, L. The initial value problem for the binormal flow with rough data. , 2013.
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[741]	Chevalier, E., Ly Vath, V., A., R. & S., S. Optimal execution cost for liquidation through a limit order market. , 2013.
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[751]	Lemarie-Rieusset, P.G. Sobolev multipliers, maximal functions and parabolic equations with a quadratic nonlinearity. , 2013.
[752]	Lemarie-Rieusset, P.G. On some classes of time-periodic solutions for the Navier-Stokes equations in the whole space. , 2013.
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2012
[767]	Jeanmougin, M. Statistical methods for robust analysis of transcriptome data by integration of biological knowledge.. , 2012. (Theses)
[768]	Acuna, V., Birmele, 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.
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