On some mixing properties of copula-based Markov chains
Martial Longla, Mous-Abou Hamadou, and Seraphin Isidore Ngongo

TL;DR
This paper investigates the mixing properties of copula-based Markov chains, providing new tools for analysis, exploring the effects of perturbations, and correcting previous misconceptions about $\psi$-mixing.
Contribution
It introduces new methods to verify $\psi$-mixing properties, analyzes the impact of perturbations on these chains, and corrects prior inaccuracies in the literature.
Findings
Perturbations of $\psi'$-mixing chains remain $\psi'$-mixing.
Perturbations of $\psi$-mixing chains do not necessarily preserve $\psi$-mixing.
Examples demonstrate the theoretical results and their practical implications.
Abstract
This paper brings some insights of -mixing, -mixing and -mixing for copula-based Markov chains and the perturbations of their copulas. We provide new tools to check Markov chains for -mixing or -mixing, and also show that perturbations of -mixing copula-based Markov chains are -mixing while perturbations of -mixing Markov chains are not necessarily -mixing Markov chains, even when the perturbed copula is . Some examples of copula families are considered. A statistical study is provided to emphasize the impact of perturbations on copula-based Markov chains. Moreover, we provide a correction to a statement made in Longla and al. (2021) on -mixing.
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Taxonomy
TopicsProbability and Risk Models
