The Statistical team is composed of 17 permanent members and 9 non permanent members (PhD students and ATER).

The team seminar, organized by Olivier Bouaziz and Charles Bouveyron, is held approximately every two weeks. For more information, please refer to the seminar page.

Permanent Members Non permanent Members

Team’s research interests are organized on four different themes. Hereafter some of the related keywords as well as the permanent members which contribute to these themes are listed, in no particular order.

Theme 1: Statistical learning (E. Birmelé, O. Bouaziz, C. Bouveyron, J. El-Methni, J.-C. Fort, S. Gey, J. Stirnemann, J.-C. Thalabard)

  •  Supervised and unsupervised clustering algorithms
  • Classification and regression trees in high dimension
  • Non parametric estimation
  • Stochastic algorithms (longitudinal data, sensitivity analysis, quantification of probability distribution)
  • Adaptive learning in classification and regression
  • Classification and enumeration algorithm for networks
  • Statistical learning for functional and heterogeneous data
  • Massive data and high dimension

Theme 2: Statistics for discrete models (F. Comte, J. Dedecker, C. Duval, V. Genon-Catalot, J. Stirnemann, J.-C. Thalabard)

  • Statistical tools : dependency, empirical processes and optimal transport
  • Measurement error (density, regression, grouped data, shape recognition)
  • Hidden Markov models
  • Mixed models
  • Longitudinal data

Theme 3: Statistical procedures for continuous time processes (O. Bouaziz, F. Comte, C. Duval, J. El-Methni, V. Genon-Catalot, C. Huber)

  • Point processes, survival data, counting processes
  • Stochastic differential equations
  • Statistical inference for Lévy processes and mixed Lévy processes
  • Shot noise models
  • Asymptotic equivalence for experiments and Delta le Cam distance
  • Extreme value theory

Theme 4: Epidemiology and genetic (F. Alarcon, E. Birmelé, C. Bouveyron, J.-C. Fort, R. Lounès, J-C. Thalabard, V. Perduca)

  • HIV/AIDS epidemic,  dengue and malaria
  • Fertility, cancerology and clinical research
  • Epidemiological genetic
  • Biochips and NGS data
  • Inference and comparison of regulation networks
  • Mass spectrometry  and medical imaging