Complete moment convergence for weighted sums of negatively dependent random variables under sub-linear expectations

By Rosenthal's inequality for negatively dependent random variables under sub-linear expectations, we study complete convergence and complete moment convergence for weighted sums of negatively dependent random variables.The results complement that of Li and Shen [9] in some extent.Mathematics subject classification (2020)

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Publication Details

Journal
Journal of Mathematical Inequalities
Published
2025-01-01
DOI
https://doi.org/10.7153/jmi-2025-19-14
Primary Topic
Probability and Risk Models
Type
article
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article

Complete moment convergence for weighted sums of negatively dependent random variables under sub-linear expectations

Zhihua Xie, Mei Xu
Journal of Mathematical Inequalities
Probability and Risk Models
article

Complete moment convergence for weighted sums of negatively dependent random variables under sub-linear expectations

Zhihua Xie, Mei Xu
article en

Abstract

By Rosenthal's inequality for negatively dependent random variables under sub-linear expectations, we study complete convergence and complete moment convergence for weighted sums of negatively dependent random variables.The results complement that of Li and Shen [9] in some extent.Mathematics subject classification (2020)

Journal of Mathematical Inequalities(1)
Reduced inequalities
Openalex Percentile: Top 93%
Probability and Risk Models
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Complete moment convergence for weighted sums of negatively dependent random variables under sub-linear expectations — Zhihua Xie, Mei Xu · Journal of Mathematical Inequalities (2025) | TGRS Research Map | TGRS