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Central limit theorem with rate of convergence under sublinear expectations Full article

Journal Stochastic Processes and their Applications
ISSN: 0304-4149
Output data Year: 2024, Volume: 172, Article number : 104353, Pages count : 16 DOI: 10.1016/j.spa.2024.104353
Tags Sublinear expectation, Central limit theorem, Lindeberg method, Rate of convergence
Authors Zhou Qianqian 1 , Sakhanenko Alexander 2 , Guo Junyi 3
Affiliations
1 School of Science, Nanjing University of Posts and Telecommunications
2 Sobolev Institute of Mathematics
3 School of Mathematical Sciences, Nankai University

Funding (1)

1 Sobolev Institute of Mathematics FWNF-2022-0010

Abstract: We study rates of convergence in a central limit theorem (CLT) under sublinear expectations. We consider the form of the CLT introduced by Fang, Peng, Shao, and Song in their work in Bernoulli, 2019, where they investigated the case of Lipschitz functions. Under more general assumptions we obtain estimates in the CLT for arbitrary functions in terms of truncated third moments. Instead of using viscosity solutions of a nonlinear parabolic PDE, which is the main tool in investigations of the CLT under sublinear expectations, here we employ a simpler generalized Lindeberg method.
Cite: Zhou Q. , Sakhanenko A. , Guo J.
Central limit theorem with rate of convergence under sublinear expectations
Stochastic Processes and their Applications. 2024. Т.172. 104353 :1-16. DOI: 10.1016/j.spa.2024.104353 WOS Scopus РИНЦ OpenAlex
Dates:
Submitted: Feb 28, 2023
Accepted: Apr 3, 2024
Published online: Apr 5, 2024
Published print: Apr 8, 2024
Identifiers:
Web of science: WOS:001226329500001
Scopus: 2-s2.0-85189627947
Elibrary: 67276074
OpenAlex: W4393970573
Citing:
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Scopus 1
OpenAlex 1
Web of science 1
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