Exponential Inequalities in Functional Nonparametrics Regression for Mixing Process

Abstract

This paper establishes exponential inequalities for the probability of the distance between kernel estimator and its means in nonparametric regression problem with mixing variables. We consider an operator equation taking the following form Y=A(Z)+, where A is a compact operator.The goal is to estimate the functional  when the variable Z is contaminated by measurements errors.