On convergence rate bounds for a class of nonlinear Markov chains

Autor: Shchegolev, Alexander, Veretennikov, Alexander
Rok vydání: 2022
Předmět:
Druh dokumentu: Working Paper
Popis: 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.
Comment: 15 pages, 12 references
Databáze: arXiv