Open Access
2024 Regenerative bootstrap for β-null recurrent Markov chains
Carlos A. Fernández
Author Affiliations +
Electron. J. Statist. 18(2): 4851-4881 (2024). DOI: 10.1214/24-EJS2318

Abstract

Two regeneration-based bootstrap methods, namely, the Regeneration based-bootstrap [3, 23] and the Regenerative Block bootstrap [11] are shown to be valid for the problem of estimating the integral of a function with respect to the invariant measure in a β-null recurrent Markov chain with an accessible atom. An extension of the Central Limit Theorem for randomly indexed sequences is also presented.

Funding Statement

This research has been conducted as part of the project Labex MME-DII (ANR11-LBX-0023-01) and has also been funded by a post doctoral grant of the Hi! Paris foundation.

Acknowledgments

The author would like to thank the two anonymous referees and the Associate Editor for their constructive comments that greatly improved the quality of this paper. A significant part of this work was conducted during the author’s PhD at Université Pars-Nanterre.

Citation

Download Citation

Carlos A. Fernández. "Regenerative bootstrap for β-null recurrent Markov chains." Electron. J. Statist. 18 (2) 4851 - 4881, 2024. https://doi.org/10.1214/24-EJS2318

Information

Received: 1 June 2024; Published: 2024
First available in Project Euclid: 27 November 2024

arXiv: 2407.05284
Digital Object Identifier: 10.1214/24-EJS2318

Subjects:
Primary: 60K35 , 60K35
Secondary: 60K35

Keywords: bootstrap , nonparametric estimation , null recurrent Markov chain , regeneration based bootstrap , regeneration block bootstrap

Vol.18 • No. 2 • 2024
Back to Top