Asymptotic Limiting Distributions for Functional Regression Model

Abstract

In this dissertation, we are interested in the functional regression model, with infinite dimensional parameter in a Hilbert space as the regression function. Estimating the parameter involves the regularization and smoothing. The asymptotic normality for the regression function estimator is derived in detail and several linear hypotheses are discussed.