Program

Each lessons is followed by a practical session that will use the R software to be installed on your laptop.

All lectures will be in english.

The following themes will be presented:

General Introduction to statistics (Gérard Grégoire, LJK/Univ. Grenoble Alpes)

Introduction to R  (Didier Fraix-Burnet, IPAG)

Supervised and unsupervised classification by mixture models (Stéphane Girard, LJK / Inria)

Introduction to probabilistics graphical models with application to image processing and to spatial data (Florence Forbes, LJK / Inria)

Classification in high dimension : mixture models, the curse of dimensionality, sub-space methods and variable selection (Charles Bouveyron, Univ. Paris-Descartes)

Classification of variables (Jérôme Saracco, Univ. Bordeaux)

Classification and taxonomy. Phylogenetic classification (cladistics). (Didier Fraix-Burnet, IPAG)

Classification with Support Vector Machine approaches (Mathieu Fauvel, ENSAT)