Approximation for general bootstrap of empirical processes with an application to kernel-type density estimation
Statistics Theory
2009-03-31 v1 Statistics Theory
Abstract
The purpose of this note is to provide an approximation for the generalized bootstrapped empirical process achieving the rate in Kolmos et al. (1975). The proof is based on much the same arguments as in Horvath et al. (2000). As a consequence, we establish an approximation of the bootstrapped kernel-type density estimator
Cite
@article{arxiv.0903.4954,
title = {Approximation for general bootstrap of empirical processes with an application to kernel-type density estimation},
author = {Salim Bouzebda and Omar El-Dakkak},
journal= {arXiv preprint arXiv:0903.4954},
year = {2009}
}