Professeure Première classe à l'Université d'Evry.
Depuis septembre 2024, je suis responsable du Master 2, Data Science: santé, Assurance, Finance. (http://www.math-evry.cnrs.fr/departement/doku.php?id=formation:master:m2ds, Evry)
Master 2 Data Science Santé, Assurance, Finance de la mention de la mention the Master of Mathematics and Applications de l'Université Paris Saclay.

M1 MINT de la mention the Master of Mathematics and Applications de l'Université Paris Saclay.

• Modèles semi-paramétriques
• Estimation non-paramétrique
• Analyse de données de survie
• Réduction de dimension, sélection de variables et sélection de modèles
• Modèles de mélange
• Déconvolution
• Modèles avec erreurs
• Analyse de sensibilité
• Construction de méta-modèles
• Réduction de dimension en régression quadratique
• Robust Screening
• Asymptotic confidence intervals for the multiple correlation coefficient

• Odelia Guedj started this phd thesis in september 2020 under the supervision of Agathe Guilloux . She is working on sensitivity analysis in linear and survival models. She is receiving a 3-year financial support from the the EDMH. Phd defense in december 2024.

• Halala Kamari started his thesis in september, 2016, under the supervision of Sylvie Huet, MaIAGE Unit in INRA, Jouy-En-Josas. She is working half time at our laboratory, spending the rest of the time in INRA. She is working on meta-modelling and sensitivity. She is receiving a 3-year financial support from the EDMH. She has presented his Phd defense on july 2020. She is now senior research in Neper Group
• Marius Kwemou started his thesis in July, 2010, under the supervision of Jean-Yves Lehesran, Abdou Kâ Diongue from University Gaston Berger at Saint-Louis in Senegal and myself. He is working half time at our laboratory, spending the rest of the time in University Gaston Berger at Saint-Louis in Senegal. He is working on dimension reduction in logistic regression with an application to ACTU-PALU Data (ANR n°07-SEST-001). He is receiving a 3-year financial support from the IRD. He has presented his Phd defense on september, the 29th, 2014. He is now Data Scientist|MLOps|LLM chez QIMA
• Sarah Lemler started her thesis in september, 2011, under the supervision of Agathe Guilloux and myself. She is receiving a 3-year financial support from the french minister of Education and Research and Evry University. She is working on variable selection and dimension reduction in high-dimensional survival analysis. She has presented her Phd defense on december, the 9th, 2014. She is now assistant professor in CentraleSupelec.

Groupe de travail de Statistique de Paris 5

Séminaire Parisien de Statistique

GdR MASCOT-NUM

Réseau Mexico

Réseau [[ http://www.maths.bath.ac.uk/~jjf23/book/ | Linear Models and R

Logistic Regression. A self learning Text

Generalized Linear Models

• P21 Dedecker, J. and Guedj, O. and Taupin, M.L.. Asymptotic confidence interval for R2 in multiple linear regression. Statistics, 1–36. doi: 0.1080/02331888.2024.2428978

• P20 Clémence Frioux, Sylvie Huet, Simon Labarthe, Julien Martinelli, Thibault Malou, et al.. Accelerating metabolic models evaluation with statistical metamodels: application to Salmonella infection models. 2022. https://hal.inrae.fr/hal-03635862v2 ESAIM: PROCEEDINGS AND SURVEYS, September 2023, Vol. 73, p. 187-217

• P19 Kamari H, Huet S. et Taupin M.-L., “The Journal of Statistical Software: RKHSMetaMod: An R Package to Estimate the Hoeffding Decomposition of a Complex Model by Solving RKHS Ridge Group Sparse Optimization Problem”, The R Journal, 2022 https://arxiv.org/abs/1905.13695v6 et https://hal.science/hal-02366422v1

• P18 RKHSMetamod R package 2019 RKHSMetamod

• P17 Ferrer Savall, J., Franqueville, D., Barbillon, P., Benhamou, C., Durand, P. , Taupin,M.-L., Monod, H. et Drouet, J.-L. Sensitivity analysis of spatio-temporal models describing nitrogen transfers, transformations and losses at the landscape scale. Environnemental Modelling & Softeware Vol 111:356-367(2019).

• P16 Huet, S. et Taupin, M.-L. Metamodel construction for sensitivity analysis. (2017). ESAIM: PROCEEDINGS AND SURVEYS, Vol. 60, p. 27-69. (2017) https://hal.archives-ouvertes.fr/hal-01434895

• P15 Ferrer Savall, J., Franqueville, D., Benhamou, C., Barbillon, P., Durand, P. , Taupin, M.-L., Monod, H. et Drouet, J.-L. Sensitivity analysis of spatio-temporal models describing nitrogen transfers, transformations and losses at the landscape scale. Proceedings of Spatial Accuracy (2016) https://arxiv.org/abs/1709.08608v1

• P14 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, (2016). https://arxiv.org/abs/1503.00226v2

• P13 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). https://arxiv.org/abs/1507.01397v1

• P12 Dedecker J., Samson A. et Taupin M.-L.: Estimation in autoregressive model with measurement error. (2014) ESAIM P&S. http://arxiv.org/abs/1105.1310

• P11 Taupin, M.-L. Comment on : Identification and estimation of nonlinear models using two samples with nonclassical measurement errors. Journal of nonparametric statistics 22 (2010) pp 409-414.

• P10 Comte F., Dedecker J. et Taupin M.-L Adaptive density deconvolution with dependent inputs. Math. Methods Statist., 17 (2008), pp87-112. http://www.springerlink.com/content/22584x673251m076/

• P9 Martin-Magniette M.-L. et Taupin M.-L. Semi-parametric estimation of the hazard function in a model with covariate measurement error. ESAIM Probab&Stat. 13 (2009), pp87-114 http://fr.arxiv.org/abs/math.ST/0606192

• P8 Comte F., Dedecker J. et Taupin M.-L Adaptive density estimation for general ARCH models. Econometric Theory 24(6) 2008, pp. 1628-1662. http://journals.cambridge.org/action/displayJournal?jid=ECT.

• P7 Butucea C. et Taupin M.-L. New M-estimators in semiparametric regression with errors-in- variables.Annales de l’Institut Henri Poincaré - Probabilités et Statistique 44 (2008) no.3, pp. 393–421. http://fr.arxiv.org/abs/math.ST/0511105

• P6 Comte F. et Taupin M.-L. Nonparametric estimation of the regression function in an errors-in-variables model. Statistica Sinica 17 (2007), 1065-1090. http://fr.arxiv.org/abs/math.ST/0511111

• P5 Comte F., Rozenholc Y. et Taupin M. L. Finite sample penalization in adaptive density deconvolution. Journal of Statistical Computation and Simulation, 77 (2007), Issue 11, pp. 977-1000. http://fr.arxiv.org/abs/math.ST/0601098

• P4 Comte F., Rozenholc Y. et Taupin M.-L. Penalized contrast estimator for adaptive density deconvolution. The Canadian Journal of Statistics 34 (2006), No 3, pp. 431-452. http://fr.arxiv.org/abs/math.ST/0601091

• P3 Matias, C. Taupin, M.-L. Minimax estimation of linear functionals in the convolution model. Math. Methods Statist. 13 (2004), no. 3, pp. 282–328.

• P2 Comte, F. Taupin, M.-L. Semiparametric estimation in the (auto)-regressive  -mixing model with errors-in-variables. Math. Methods Statist. 10 (2001), no. 2, pp. 121–160.

• P1 Taupin, M.-L. Semi-parametric estimation in the nonlinear structural errors-in-variables model. Ann. Statist. 29 (2001), no. 1,66–93

• Frioux, Clémence and Huet, Sylvie and Labarthe, Simon and Martinelli, Julien and Malou, Thibault and Sherman, David James and Taupin, Marie-Luce and Salas, Pablo Ugalde, Poster . Dynamic Flux Balance Analysis with Metamodels JOBIM 2022 (Société Française de BioInoformatique) https://hal.science/hal-04236775 ,

• Frioux, Clémence and Huet, Sylvie and Labarthe, Simon and Martinelli, Julien and Malou, Thibault and Sherman, David James and Taupin, Marie-Luce and Ugalde-Salas, Pablo, Poster . Dynamic Flux Balance Analysis with Metamodels Microbial communities: current approaches and open challenges 2022 https://hal.science/hal-04252041

• S1 Huet, S., Kamari, H. et Taupin, M.-L. Metamodel construction for sensitivity analysis in the context of dependent input and sub-gaussian noise. En cours de rédaction

• S2 Kwemou, M. et Taupin, M.-L. et Tocquet, A.-S. Model selection in Logistic regression. (2014). En révision https://hal.archives-ouvertes.fr/hal-01188376

• S3 Kwemou, M. et Taupin, M.-L. et Dos Santos, S. et Le Hesran, J.-Y. Variables Selection strategies in large socio-epidemiological surveys. Identification of households at risk of having febrile episode in Dakar, Sénégal. (2014) Unpublished.

• 2008 Habilitation à Diriger des Recherches, soutenue le 09 décembre 2008 à l’Université Paris Descartes. Déconvolution et Estimation dans les modèles avec erreurs sur les variables. Habilitation

• 1994-1998 Thèse de Doctorat de l’Université Paris-Sud. effectuée au Laboratoire de Biométrie, INRA (Jouy-en-Josas) sous la direction de Sylvie Huet (INRA) et P. Massart (Univ. Paris-Sud). Estimation semi-paramétrique pour le modèle de régression non linéaire avec erreurs sur les variables.https://www.theses.fr/1998PA112004| Thèse