On convergence rate bounds for a class of nonlinear Markov chains

Fuente: arXiv
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Autores principales: Shchegolev, Alexander, Veretennikov, Alexander
Formato: Preprint
Publicado: 2022
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author Shchegolev, Alexander
Veretennikov, Alexander
author_facet Shchegolev, Alexander
Veretennikov, Alexander
contents A new approach is developed for evaluating the convergence rate for nonlinear Markov chains (MC) based on the recently developed spectral radius technique of markovian coupling for linear MC and the idea of small nonlinear perturbations of linear MC. The method further enhances recent advances in the problem of convergence for such models. The new convergence rate may be used, in particular, for the justification of $D$-condition in the Extreme Values theory.
format Preprint
id arxiv_https___arxiv_org_abs_2209_12834
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle On convergence rate bounds for a class of nonlinear Markov chains
Shchegolev, Alexander
Veretennikov, Alexander
Probability
60J10, 60J05, 60J99
A new approach is developed for evaluating the convergence rate for nonlinear Markov chains (MC) based on the recently developed spectral radius technique of markovian coupling for linear MC and the idea of small nonlinear perturbations of linear MC. The method further enhances recent advances in the problem of convergence for such models. The new convergence rate may be used, in particular, for the justification of $D$-condition in the Extreme Values theory.
title On convergence rate bounds for a class of nonlinear Markov chains
topic Probability
60J10, 60J05, 60J99
url https://arxiv.org/abs/2209.12834