Approximation for general bootstrap of empirical processes with an application to kernel-type density estimation
classification
🧮 math.ST
stat.TH
keywords
approximationbootstrappeddensityempiricalkernel-typeachievingapplicationarguments
read the original 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
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.