On local times, density estimation and classification rules for functional data

Abstract

In this paper we define a $\sqrt{n}$-consistent nonparametric density estimator for functional data. Under mild conditions we obtain strong consistency, strong orders of convergence and derive the asymptotic distribution of the estimator. We propose a nonparametric classification rule based on local times (occupation measure) and include some simulations studies