General Central Limit Theorems for m-Dependent Random Variables Under Sub-linear Expectations

Wang-Yun Gu , Li-Xin Zhang

Communications in Mathematics and Statistics ›› 2026, Vol. 14 ›› Issue (4) : 725 -745.

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Communications in Mathematics and Statistics ›› 2026, Vol. 14 ›› Issue (4) :725 -745. DOI: 10.1007/s40304-024-00397-3
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General Central Limit Theorems for m-Dependent Random Variables Under Sub-linear Expectations
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Abstract

M-dependence is a commonly used assumption in the study of dependent sequences. In this paper, central limit theorems for m-dependent random variables under the sub-linear expectations are established based mainly on the conditions of Zhang (Commun Math Stat, 2023). They can be regarded as the extension of independent Lindeberg central limit theorem, and for proving this, Rosenthal’s inequality for m-dependent random variables is obtained. In particular, we extend the results in Li (Acta Math Appl Sin Engl Ser 31:435–444, 2015) and establish the central limit theorem for m-dependent stationary sequence.

Keywords

Central limit theorem / m-dependence / Sub-linear expectation / Capacity / 60F05

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Wang-Yun Gu, Li-Xin Zhang. General Central Limit Theorems for m-Dependent Random Variables Under Sub-linear Expectations. Communications in Mathematics and Statistics, 2026, 14 (4) : 725-745 DOI:10.1007/s40304-024-00397-3

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Funding

Major Research Plan(12031005)

RIGHTS & PERMISSIONS

School of Mathematical Sciences, University of Science and Technology of China and Springer-Verlag GmbH Germany, part of Springer Nature

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