Activités de recherche

Thèmes de recherche (Research interests)

  • Statistical Computing (with the R statistical software)
    • Development of R packages
    • High Performance Computing (HPC) with R
    • BigData RHadoop & MapReduce
  • Latent variables models, missing data, mixtures of distributions
    • EM and hybrid EM algorithms for several mixture models
    • semi- and non-parametric (multivariate) mixture models
    • Tests for homogeneity vs. mixture
  • Monte-Carlo Markov Chains (MCMC)
    • Convergence assessment in MCMC
    • adaptive MCMC methods

Participation à des Projets de recherche

  • ANR GAMBAS (PhD co-advisor, 2020—2023)
  • Projet ADOpTER, Data Mining et cosmétoscience (2018 — 2020)
  • PIA PALM, Product of Agriculture Life-cycle Management, Calcul intensif et simulation numérique (2015-2017)
  • Projet Région DURAREP2 (mixture models, INRA Tours-Nouzilly 2012-2015)
  • Projet Région FDTE (Data mining et environnement, 2011-2014)
  • Research program PILE, Programme International pour le Langage de l’Enfant, (PhD co-advisor, 2006-2008)
R

Développement de codes – Statistical Computing

  • EntropyMCMC: R package for MCMC Simulation and Convergence Evaluation using Entropy and Kullback-Leibler Divergence Estimation, CRAN (2019)
  • mixtools: R package for analyzing finite mixture models, co-author, CRAN (2017, several versions since 2009)
  • CLTC: MCMC Convergence assessment via the CLT for Markov chains (1998-2001, deprecated)