Workshop 
-- Advances in Functional Data Analysis : Cluster, location and shape --

This 3-days event aims at bringing together major european research groups interested in functional data analysis to give an up-to-date overview on recent advances with functional data and their applications. 
The workshop will be divided on half-days thematic sessions. 

Topics of interest within this broad framework include:

	- Modelling functional data : from theory to real data applications 
	- Variable selection in a functional framework 
	- Learning with functional predictors 
	- Clustering functional data 
	- Dealing with heterogeneity 

• F. Scheipl (LMU München, Germany)
• V. Rivoirard (Université Paris Dauphine, France)
• V. Vitelli (University of Oslo, Norway)
• Y. Zemel (Göttingen University, Germany)
  

• E. Devijver (CNRS, Université Grenoble Alpes, France)
• M. Giacofci (Université de Rennes 2, France)
• V. Monbet (Université de Rennes 1, France)
• M. Morvan (Université de Rennes 2, France)