Rosenthal-type inequalities for linear statistics of Markov chains

Fuente: arXiv
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Main Authors: Durmus, Alain, Moulines, Eric, Naumov, Alexey, Samsonov, Sergey, Sheshukova, Marina
Format: Preprint
Published: 2023
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author Durmus, Alain
Moulines, Eric
Naumov, Alexey
Samsonov, Sergey
Sheshukova, Marina
author_facet Durmus, Alain
Moulines, Eric
Naumov, Alexey
Samsonov, Sergey
Sheshukova, Marina
contents In this paper, we establish novel concentration inequalities for additive functionals of geometrically ergodic Markov chains similar to Rosenthal inequalities for sums of independent random variables. We pay special attention to the dependence of our bounds on the mixing time of the corresponding chain. Precisely, we establish explicit bounds that are linked to the constants from the martingale version of the Rosenthal inequality, as well as the constants that characterize the mixing properties of the underlying Markov kernel. Finally, our proof technique is, up to our knowledge, new and is based on a recurrent application of the Poisson decomposition.
format Preprint
id arxiv_https___arxiv_org_abs_2303_05838
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Rosenthal-type inequalities for linear statistics of Markov chains
Durmus, Alain
Moulines, Eric
Naumov, Alexey
Samsonov, Sergey
Sheshukova, Marina
Probability
Statistics Theory
Machine Learning
60E15, 60J20, 65C40
In this paper, we establish novel concentration inequalities for additive functionals of geometrically ergodic Markov chains similar to Rosenthal inequalities for sums of independent random variables. We pay special attention to the dependence of our bounds on the mixing time of the corresponding chain. Precisely, we establish explicit bounds that are linked to the constants from the martingale version of the Rosenthal inequality, as well as the constants that characterize the mixing properties of the underlying Markov kernel. Finally, our proof technique is, up to our knowledge, new and is based on a recurrent application of the Poisson decomposition.
title Rosenthal-type inequalities for linear statistics of Markov chains
topic Probability
Statistics Theory
Machine Learning
60E15, 60J20, 65C40
url https://arxiv.org/abs/2303.05838