SUPERVISED CLASSIFICATION OF CURVES BY FUNCTIONAL DATA ANALYSIS: AN APPLICATION TO NEUROMARKETING DATA

Abstract

In this paper we contribute to the functional data analysis literature by presenting a scalar-on-function penalized regression model with a multinomial response variable which takes into account possible information given by the phase variability. We also providing a practical application on neuromarketing data.