User Tools

Site Tools


members:mtaupin:welcome

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

Responsable de la finalité Ingénierie Statistique et Génomique, M2 ISG

Cette nouvelle finalité fait partie du parcours “Mathématiques du Vivant” du Master “Mathématiques et Applications” de l'Université Paris Saclay http://www.universite-paris-saclay.fr/fr/formation/master/mathematiques-et-applications.

Actual position

Since 2009, I am a full professor at the university of Evry, member of the lab LaMME.

Research Interest

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

PhD Students

To appear

Past

  • 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

  • M2 ISG Modèles de Durée
  • L3 Mathématique “Statistique”
  • ENSIIE Projets 2A

Groupe de travail de Statistique de Paris 5

Séminaire Parisien de Statistique

SSB Group

Unité MIA-Jouy, INRA

GdR MASCOT-NUM

Réseau Mexico

Réseau REM

Linear Models and R

Logistic Regression. A self learning Text

Generalized Linear Models

2017
[1]
Huet, S. & Taupin, M.L. Metamodel construction for sensitivity analysis. , 2017., (working paper or preprint). implementation
2016
[2]
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. implementation
[3]
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. implementation
2015
[4]
[5]
Kwemou, M., Taupin, M.L. & Tocquet, A.S. MODEL SELECTION IN LOGISTIC REGRESSION. , 2015., (working paper or preprint). implementation
[6]
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). implementation
[7]
2014
[8]
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). implementation
[9]
2010
[10]
Taupin, M.L. Comment on : Identification and estimation of nonlinear models using two samples with nonclassical measurement errors. Journal of nonparametric statistics, 22():409-414, 2010.
2009
[11]
Martin-Magniette, M.L. & Taupin, M.L. Semi-parametric estimation of the hazard function in a model with covariate measurement error.. ESAIM: Proba. and Stat., 13():87-114, 2009. implementation
2008
[12]
[13]
Butucea, C. & Taupin, M.L. New M-estimators in semiparametric regression with errors-in-variables.. Annales de l'Institut Henri Poincaré, 44(3):393-421, 2008. implementation
[14]
Comte, F., Dedecker, J. & Taupin, M.L. Adaptive density deconvolution with dependent inputs.. Math. Methods Statist., 17(2):87-112, 2008. implementation
[15]
Comte, F., Dedecker, J. & Taupin, M.L. Adaptive density estimation for general ARCH models.. Econometric Theory, 24(6):1628-1662, 2008., (http://journals.cambridge.org/action/displayJournal?jid=ECT). implementation
2007
[16]
Comte, F. & Taupin, M.L. Adaptive estimation in a nonparametric regression model with errors-in-variables. Statist. Sinica, 17(3):1065-1090, 2007.
[17]
Comte, F., Rozenholc, Y. & Taupin, M.L. Finite sample penalization in adaptive density deconvolution.. Journal of Statistical Computation and Simulation, 77():977-1000, 2007. implementation
2006
[18]
Comte, F., Rozenholc, Y. & Taupin, M.L. Penalized contrast estimator for adaptive density deconvolution. Canad. J. Statist., 34(3):431-452, 2006. implementation
2004
[19]
Matias, C. & Taupin, M.L. Minimax estimation of linear functionals in the convolution model. Math. Methods Statist., 13(3):282-328, 2004.
2001
[20]
Comte, F. & Taupin, M.L. Semiparametric estimation in the (auto)-regressive \beta-mixing model with errors-in-variables. Math. Methods Statist., 10(2):121-160, 2001.
[21]
Taupin, M.L. Semi-parametric estimation in the nonlinear structural errors-in-variables model. Ann. Statist., 29():66-93, 2001.
1998
[22]
Taupin, M.L. Estimation in the nonlinear errors-in-variables model.. C. R. Acad. Sci. Paris Se\́r. I Math. 326, 7():885-890, 1998.
[23]
members/mtaupin/welcome.txt · Last modified: 2017/02/26 21:52 by Marie Luce Taupin

Page Tools