Nonparametric Functional Estimation by Asymptotic Regression

Abstract

Nonparametric density estimates are obtained by the method of asymptotic regression (AR) on empirical stochastic processes. Rates of convergence for the density estimator are obtained in various norms. The methodology is applied to density estimation in two inverse problems: deconvolution and Wicksell's corpuscle problem.