Wasserstein-$1$ distance and nonuniform Berry-Esseen bound for a supercritical branching process in a random environment

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Hauptverfasser: Wu, Hao, Fan, Xiequan, Gao, Zhiqiang, Ye, Yinna
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Veröffentlicht: 2023
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author Wu, Hao
Fan, Xiequan
Gao, Zhiqiang
Ye, Yinna
author_facet Wu, Hao
Fan, Xiequan
Gao, Zhiqiang
Ye, Yinna
contents Let $ (Z_{n})_{n\geq 0} $ be a supercritical branching process in an independent and identically distributed random environment. We establish an optimal convergence rate in the Wasserstein-$1$ distance for the process $ (Z_{n})_{n\geq 0} $, which completes a result of Grama et al. [Stochastic Process. Appl., 127(4), 1255-1281, 2017]. Moreover, an exponential nonuniform Berry-Esseen bound is also given. At last, some applications of the main results to the confidence interval estimation for the criticality parameter and the population size $Z_n$ are discussed.
format Preprint
id arxiv_https___arxiv_org_abs_2307_01084
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Wasserstein-$1$ distance and nonuniform Berry-Esseen bound for a supercritical branching process in a random environment
Wu, Hao
Fan, Xiequan
Gao, Zhiqiang
Ye, Yinna
Probability
Statistics Theory
60J80, 60K37, 60F05, 62E20
Let $ (Z_{n})_{n\geq 0} $ be a supercritical branching process in an independent and identically distributed random environment. We establish an optimal convergence rate in the Wasserstein-$1$ distance for the process $ (Z_{n})_{n\geq 0} $, which completes a result of Grama et al. [Stochastic Process. Appl., 127(4), 1255-1281, 2017]. Moreover, an exponential nonuniform Berry-Esseen bound is also given. At last, some applications of the main results to the confidence interval estimation for the criticality parameter and the population size $Z_n$ are discussed.
title Wasserstein-$1$ distance and nonuniform Berry-Esseen bound for a supercritical branching process in a random environment
topic Probability
Statistics Theory
60J80, 60K37, 60F05, 62E20
url https://arxiv.org/abs/2307.01084