I am an Assistant Professor at Telecom ParisTech within the department IDS (Image, data, signal). I am organizing with Anne Sabourin the seminar of Probability and Statistics. Contact
francois.portier_gmail_com My main research topic is semi-parametric statistics. I am interested in parsimonious regression models that allow to reduce the dimension of the covariates without loss of information. The aim is to study algorithms that compute such a reduction. Typical applications are when the number of covariates is too large to be handled by nonparametric methods (>4 is often too much) or simply when none parametric model is available. I am also interested in other semi-parametric problems arising from copula modelling or survival analysis (CURE models). I received my Ph.D. from Université de Rennes 1, within the lab IRMAR, under the supervision of Bernard Delyon (defended in July 2013). Papers. Efficiency and bootstrap in the promotion time cure model. Accepted in Bernoulli. With Anouar El Ghouch and Ingrid Van Keilegom. 2017. PDF On the asymptotics of Z-estimators indexed by the objective functions. Electronic Journal of Statistics. 2016. PDF An empirical process view of inverse regression. Scandinavian Journal of Statistics. 2016. PDF Integral approximation by kernel smoothing. Bernoulli. 2016. With Bernard Delyon. PDF Bootstrap testing of the rank of a matrix via least squared constrained estimation. Journal of the American Statistical Association. 2014. With Bernard Delyon. PDF Optimal function: A new approach for covering the central subspace. Journal of Multivariate Analysis. 2013. With Bernard Delyon. PDF Other Links. A nice blog about statistics, actuarial sciences and R, more about the wind in Bretagne. |
