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Marie-Luce Taupin

Professeur des Universités (UEVE)
Université d'Évry Val d'Essonne
Laboratoire de Mathématiques et Modélisation d'Évry (UMR 8071)
I.B.G.B.I., 23 Bd. de France, 91037 Évry Cedex
☎ +33 (0) 1 64 85 35 28
📠: +33 1 64 85 36 01
email : marie-luce.taupin “AT”@univ-evry.fr>

A la Une

Actual position

Since September 2018, I am responsible of the first year of Master Mathematics and Interactions ( M1 MINT, Evry) in the Master of Mathematics and Applications in University Paris Saclay.
From 2013 to 2021, I was the director of the mathematics department of the University of Evry.

Since 2009, I am a full professor at the university of Evry, member of the team “Statistics and Genome” in the lab LaMME.

Research Interest

  • Semiparametric models
  • Nonparametric estimation
  • Survival analysis
  • Dimension reduction / variable selection
  • Model selection
  • Mixture models
  • Deconvolution
  • Measurement errors models
  • Sensitivity Analysis
  • Meta-modeling
  • Statistics for genomics and genetics

PhD Students

Current

  • 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.

Past

  • 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.
  • 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.
  • 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.

Teachings

Publications

  • P1 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
  • P2 Kamari, et al., “The R Journal: 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
  • P4 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).
  • P6 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
  • P7 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
  • P8 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
  • P10 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.
  • P12 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
  • P14 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
  • P16 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
  • P17 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
  • P18 Matias, C. Taupin, M.-L. Minimax estimation of linear functionals in the convolution model. Math. Methods Statist. 13 (2004), no. 3, pp. 282–328.
  • P19 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.
  • P20 Taupin, M.-L. Semi-parametric estimation in the nonlinear structural errors-in-variables model. Ann. Statist. 29 (2001), no. 1,66–93

Articles soumis, en révision, en cours de rédaction

  • 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
  • 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.

Thèse et HDR

  • HDR 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.
  • 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.
members/mtaupin/welcome.txt · Last modified: 2022/10/03 15:30 by Marie Luce Taupin

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