Descriptive statistics for categorical functional data

Abstract:

Data represented by paths of a continuous-time stochastic jump process will be considered in the framework of functional data analysis. Dimension reduction, clustering and regression will be illustrated throughout the cfda R package on simulation and real data applications.

Authors : Cristian Preda, Quentin Grimonprez, Vincent Vandewalle 

Orateur-e : Cristian PREDA, Université de Lille

E-mail : cristian.preda[chez]univ-lille[point].fr

Modérateur : Assi N’GUESSAN

assi.n-guessan@univ-lille.fr