Information Covid Recherche

MARBAC LOURDELLE Matthieu

Enseignant-chercheur en statistique DOMAINES DE RECHERCHE
  • Model-based clustering
  • Computational statistics
  • Biostatistics
  • Empirical likelihood
Bureau 259 Téléphone +33 (0)2 99 05 32 15 Email matthieu.marbac-lourdelle@ensai.fr Adresse ENSAI
Campus de Ker Lann
51 Rue Blaise Pascal
BP 37203
35172 BRUZ Cedex

Preprints

  • Du Roy de Chaumaray M. and Marbac M
    Clustering Data with Nonignorable Missingness using Semi-Parametric Mixture Models

  • Marbac, M., Sedki, M., Biernacki, C. and Vandewalle, V.
    Unifying regression and clustering for latent group effect models.

  • Du Roy de Chaumaray, M., Marbac M. and Patilea, V.
    Wilks’ theorem for semiparametric regressions with weakly dependent data. [arXiv]

Journal articles

  • Du Roy de Chaumaray, M., Marbac M. and Navarro, F.
    Mixture of hidden Markov models for accelerometer data.
    Annals of Applied Statistics, forthcoming. [Journal - arXiv]
  • Biernacki, C., Marbac, M. and Vandewalle, V.
    Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering.
    Journal of Classification, forthcoming [Journal - Hal]

  • Marbac, M. and Patin, E. and Sedki, M. (2020)
    Variable selection for mixed data clustering: Application in human population genomics.
    Journal of Classification
    , 37 124–142 [Journal - R package VarSelLCM.2.1 - Package tutorial]

  • Saldanha Gomes, C., Marbac, M., Sedki, M.,  Cornet, M., Plancoulainr, S., Charles, M.-A., Lioret, S. and Dargent-Molina, P. (2020)
    Clusters of diet, physical activity, television exposure and sleep habits and their association with adiposity in preschool children: the EDEN mother-child cohort.
    International Journal of Behavioral Nutrition and Physical Activity; 17, 20  [Journal]

  • Marbac, M. and Sedki, M. (2019)
    VarSelLCM: an R/C++ package for variable selection in model-based clustering of mixed-data with missing values.
    Bioinformatics, 35 (7), 1255-1257
    [Journal]
  • Marbac, M., and Vandewalle, V. (2019)
    A tractable Multi-Partitions Clustering.
    Computational Statistics and Data Analysis
    , 132, 167-179 [Journal]
  • Marbac, M., Sedki, M., Boutron-Ruault, M.C., and Dumas, O. (2018)
    Patterns of cleaning product exposures using a novel clustering approach for data with correlated variables.
    Annals of Epidemiology
    , 28 (8), 563-569.e6 [Journal]
  • Marbac, M. and Sedki, M. (2017)
    A Family of Blockwise One-Factor Distributions for Modelling High-Dimensional Binary Data.
    Computational Statistics and Data Analysis
    , 114, 130-145 [Journal - R package MvBinary.1.0 - Package tutorial]
  • Cheam, A.S.M., Marbac, M. and McNicholas, P.D. (2017)
    Model-based clustering for spatio-temporal data on air quality monitoring.
    Environmetrics
    , 8 (3) [Journal - R package SpaTimeClus.1.0]
  • Marbac, M., Biernacki, C. and Vandewalle, V. (2017)
    Model-based clustering of Gaussian Copulas for Mixed Data.
    Communications in Statistics – Theory and Methods
    , 46 (23) [Journal - R codes]
  • Marbac, M. and Sedki, M. (2017)
    Variable selection for model-based clustering using the integrated complete-data likelihood.
    Statistics and Computing
    , 27 (4) [Journal - R package VarSelLCM - Package tutorial]
  • Marbac, M., Biernacki, C. and Vandewalle, V. (2016)
    Finite mixture model of conditional dependencies modes to cluster categorical data.
    Advances in Data Analysis and Classification
    , 10 (2), 183-207 [Journal - R codes]
  • Marbac, M. and McNicholas, P.D. (2016)
    Dimension reduction for clustering.
    Wiley StatsRef : Statistics Reference Online
    , 1–7 [Journal]
  • Marbac, M., Tubert-Bitter, P. and Sedki, M. (2016)
    Bayesian model selection in logistic regression for the detection of adverse drug reactions.
    Biomertical Journal
    , 58, 1376–1389 [Journal - R package MHTrajectoryR.1.0]
  • Marbac, M., Biernacki, C. and Vandewalle, V. (2015)
    Model-based clustering for conditionally correlated categorical data.
    Journal of Classification
    , 32 (2), 145-175,  [Journal - R codes]

Proceedings

  • Marbac, M., Biernacki, C. and Vandewalle, V.
    Mixture model of Gaussian copulas.
    Proceedings CompStat, 2014
    [Pdf]

Other document

  • Marbac, M.
    Model-based clustering for categorical and mixed vairables.
    Thèse de doctorat, 2014
    [Pdf].