MARBAC Matthieu

Enseignant-chercheur en statistique DOMAINES DE RECHERCHE
  • Biostatistics
  • Clustering and classsification
  • Empirical likelihood
  • Mixture models

Editorial Activity
Computational Statistics & Data Analysis (Associate Editor, 04/2021 - )
Econometric and Statistics (Associate Editor, 11/2023 - )


Bureau 259 Téléphone +33 (0)2 99 05 32 15 Email Adresse ENSAI
Campus de Ker Lann
51 Rue Blaise Pascal
BP 37203
35172 BRUZ Cedex


Since September 2023, I hold a position of Associate Professor in Statistics at ENSAI/CREST (Bruz, France). Between September 2017 and September 2023, I held a position of Assistant Professor in Statistics at ENSAI/CREST (Bruz, France). Since September 2022, I'm also an external collaborator of the team PreMedical which is a joint team between Inria and Inserm

I defended my habilitation (french qualification required to supervise Ph.D. students) in 2022, here is my manuscript. I was awarded my Ph.D., supervised by Christophe Biernacki and Vincent Vandewalle, in October 2014 at the University of Lille 1.

For more information about, please see my academic CV.

PhD supervision

  • December 2023-present: Mohamed El Hasnaoui Model selection for nonparametric mixture models with dependent data
  • November 2023-present: Koffi Amezouwui Analysis and clustering of soccer game situations in order to populate virtual environments. Jointly supervised with Brigitte Gelein (Irmar-Ensai) and Anthony Sorel (M2S)
  • September 2022-present: Antoine Bouvet Analyzing inertial swimming data for automatically monitoring athlete's activity during training. Jointly supervised with Salima El Kolei (CREST-Ensai) and Nicolas Bideau (M2S)
  • December 2021-present: Camille Méneur Arrhythmia: Statistical modelling for detection and classification of heart defects in racehorses. Jointly supervised with Gilles Stupfler (Univ. of Angers)
  • December 2020-present: Axel Potier Probabilistic substitution model to determine the optimal stocks. Jointly supervised with Christophe Biernacki (Inria) and Vincent Vandewalle (Univ. of Nice Côte d'Azur)


  • CREST: Marie Du Roy de Chaumaray, Salima El Kolei and Valentin Patilea.
  • National: Inria (Christophe Biernacki, Gilles Celeux, Julie Josse), Irmar (Marie-Pierre Etienne), Inserm (Orianne Dumas, Patricia Dargent, Cécilia Saldanha Gomes), Institut Pasteur (Étienne Patin), Université Côte d'Azur (Aude Sportisse, Vincent Vandewalle), Université de Lille (Mohamed-Salem Ahmed, Camille Frévent, Michaël Genin), Université Paris-Sud (Mohammed Sedki) and Sorbonne université (Claire Boyer).
  • International: HEC Montreal (Amay Cheam, Marc Fredette) and University of McMaster (Paul McNicholas).


Book chapters (in french)

  • Marbac, M. Introduction à une ́etude statistique avec données manquantes, JES 2022, sous la direction de F. Bertrand, G. Saporta, C. Thomas-Agnan.
  • Marbac, M. Méthodes basées sur la vraisemblance pour données manquantes ayant un mecanisme ignorable, JES 2022, sous la direction de F. Bertrand, G. Saporta, C. Thomas-Agnan.
  • Marbac, M. Méthodes de pondération pour données manquante, JES 2022, sous la direction de F. Bertrand, G. Saporta, C. Thomas-Agnan.

Journal articles (statistics)

(Most recent first)


Journal articles (epidemiology)