- Équipes
- Productions scientifiques
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- Séminaires
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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
Since 2009, I am a full professor at the university of Evry, member of the team “Statistics and Genome” in the lab LaMME.
Since 2013, I am the director of the mathematics department of the University of Evry.
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.
Groupe de travail de Statistique de Paris 5
Séminaire Parisien de Statistique
Logistic Regression. A self learning Text
2024 | |
[1] | Dedecker, J., Guedj, O. & Taupin, M.L. Asymptotic confidence interval for R2 in multiple linear regression. , 2024., (working paper or preprint). |
2023 | |
[2] | 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. |
2022 | |
[3] | 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. |
[4] | 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). |
[5] | 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). |
2019 | |
[6] | Huet, S. & Taupin, M.L. Metamodel construction for sensitivity analysis. , 2019., (working paper or preprint). |
[7] | 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). |
2017 | |
[8] | Huet, S. & Taupin, M.L. Metamodel construction for sensitivity analysis. ESAIM: Proceedings and Surveys, 60-2017:27-69, EDP Sciences, 2017. |
[9] | Huet, S. & Taupin, M.L. Metamodel construction for sensitivity analysis. ESAIM: Proceedings and Surveys, 60:27-69, EDP Sciences, 2017. |
2016 | |
[10] | 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. |
2015 | |
[11] | 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. |
[12] | 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. |
[13] | Kwemou, M., Taupin, M.L. & Tocquet, A.S. MODEL SELECTION IN LOGISTIC REGRESSION. , 2015., (working paper or preprint). |
[14] | 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 | |
[15] | 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). |
[16] | Dedecker, J., Samson, A. & Taupin, M.L. Estimation in autoregressive model with measurement error. ESAIM: Probability and Statistics, 18:277-307, EDP Sciences, 2014. |
[17] | Kwemou, M., Taupin, M.L., Dos Santos, S. & Le Hesran, J.Y. Variables Selection Strategies in large Socio-epidemiological Surveys. Identification of households at risk of having febrile episode in Dakar, Senegal. , 2014. |
2010 | |
[18] | 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 | |
[19] | 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. |
2008 | |
[20] | |
[21] | 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. |
[22] | Comte, F., Dedecker, J. & Taupin, M.L. Adaptive density deconvolution with dependent inputs.. Math. Methods Statist., 17(2):87-112, 2008. |
[23] | 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). |
2007 | |
[24] | Comte, F. & Taupin, M.L. Adaptive estimation in a nonparametric regression model with errors-in-variables. Statist. Sinica, 17(3):1065-1090, 2007. |
[25] | Comte, F., Rozenholc, Y. & Taupin, M.L. Finite sample penalization in adaptive density deconvolution.. Journal of Statistical Computation and Simulation, 77():977-1000, 2007. |
2006 | |
[26] | Comte, F., Rozenholc, Y. & Taupin, M.L. Penalized contrast estimator for adaptive density deconvolution. Canad. J. Statist., 34(3):431-452, 2006. |
2004 | |
[27] | Matias, C. & Taupin, M.L. Minimax estimation of linear functionals in the convolution model. Math. Methods Statist., 13(3):282-328, 2004. |
2001 | |
[28] | 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. |
[29] | Taupin, M.L. Semi-parametric estimation in the nonlinear structural errors-in-variables model. Ann. Statist., 29():66-93, 2001. |
1998 | |
[30] | 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. |
[31] |