Open Access
2016 Bootstrap uniform central limit theorems for Harris recurrent Markov chains
Gabriela Ciołek
Electron. J. Statist. 10(2): 2157-2178 (2016). DOI: 10.1214/16-EJS1167

Abstract

The main objective of this paper is to establish bootstrap uniform functional central limit theorem for Harris recurrent Markov chains over uniformly bounded classes of functions. We show that the result can be generalized also to the unbounded case. To avoid some complicated mixing conditions, we make use of the well-known regeneration properties of Markov chains. We show that in the atomic case the proof of the bootstrap uniform central limit theorem for Markov chains for functions dominated by a function in $L^{2}$ space proposed by Radulović (2004) can be significantly simplified. Finally, we prove bootstrap uniform central limit theorems for Fréchet differentiable functionals in a Markovian setting.

Citation

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Gabriela Ciołek. "Bootstrap uniform central limit theorems for Harris recurrent Markov chains." Electron. J. Statist. 10 (2) 2157 - 2178, 2016. https://doi.org/10.1214/16-EJS1167

Information

Published: 2016
First available in Project Euclid: 18 July 2016

zbMATH: 1347.62063
MathSciNet: MR3522672
Digital Object Identifier: 10.1214/16-EJS1167

Subjects:
Primary: 62G09
Secondary: 60J05 , 62G20

Keywords: bootstrap , empirical processes indexed by classes of functions , Entropy , Fréchet differentiability , Markov chains , Nummelin splitting technique , regenerative processes , robustness

Rights: Copyright © 2016 The Institute of Mathematical Statistics and the Bernoulli Society

Vol.10 • No. 2 • 2016
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