On the maximal correlation of some stochastic processes

Fuente: arXiv
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Auteurs principaux: Chang, Yinshan, Chen, Qinwei
Format: Preprint
Publié: 2024
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author Chang, Yinshan
Chen, Qinwei
author_facet Chang, Yinshan
Chen, Qinwei
contents We study the maximal correlation coefficient $R(X,Y)$ between two stochastic processes $X$ and $Y$. In the case when $(X,Y)$ is a random walk, we find $R(X,Y)$ using the Csáki-Fischer identity and the lower semicontinuity of the map $\text{Law}(X,Y) \to R(X,Y)$. When $(X,Y)$ is a two-dimensional Lévy process, we express $R(X,Y)$ in terms of the Lévy measure of the process and the covariance matrix of the diffusion part of the process. Consequently, for a two-dimensional $α$-stable random vector $(X,Y)$ with $0<α<2$, we express $R(X,Y)$ in terms of $α$ and the spectral measure $τ$ of the $α$-stable distribution. We also establish analogs and extensions of the Dembo-Kagan-Shepp-Yu inequality and the Madiman-Barron inequality.
format Preprint
id arxiv_https___arxiv_org_abs_2411_17109
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On the maximal correlation of some stochastic processes
Chang, Yinshan
Chen, Qinwei
Probability
Statistics Theory
60G51, 62J10, 62H20
We study the maximal correlation coefficient $R(X,Y)$ between two stochastic processes $X$ and $Y$. In the case when $(X,Y)$ is a random walk, we find $R(X,Y)$ using the Csáki-Fischer identity and the lower semicontinuity of the map $\text{Law}(X,Y) \to R(X,Y)$. When $(X,Y)$ is a two-dimensional Lévy process, we express $R(X,Y)$ in terms of the Lévy measure of the process and the covariance matrix of the diffusion part of the process. Consequently, for a two-dimensional $α$-stable random vector $(X,Y)$ with $0<α<2$, we express $R(X,Y)$ in terms of $α$ and the spectral measure $τ$ of the $α$-stable distribution. We also establish analogs and extensions of the Dembo-Kagan-Shepp-Yu inequality and the Madiman-Barron inequality.
title On the maximal correlation of some stochastic processes
topic Probability
Statistics Theory
60G51, 62J10, 62H20
url https://arxiv.org/abs/2411.17109