On the robust nonparametric regression estimation for a functional regressor
Résumé
We study a family of robust nonparametric estimators for a regression function based on a kernel method when the
regressors are functional random variables. We establish the almost complete convergence rate of these estimators
under the probability measure’s concentration property on small balls of of the functional variable. Simulations are
given to show our estimator’s behavior and the prediction quality for functional data.
Domaines
Mathématiques [math]
Origine : Fichiers produits par l'(les) auteur(s)
Loading...