Modèle non paramétrique parcimonieux pour la détection des points d'impact d'une variable fonctionnelle

A nonlinear sparse model is defined for selecting impact points in regression problems with functional predictors, and a variable selection procedure based on screening and splitting is proposed. Some asymptotics are stated both for the impact points and for the parameters of the model.