Complete Convergence and Complete Moment Convergence for Randomly Weighted Sums of Widely Negative Dependent Random Variables under Sublinear Expectations

It is well known that the convergence properties for weighted sums of random variables are important topics in probability limit theory. In this paper, under some suitable conditions, we study the complete convergence and complete moment convergence for randomly weighted sums of arrays of rowwise widely negative dependent random variables in sublinear expectation space, which extend the corresponding ones in classical probability space to the case of sublinear expectation space. As an application, we obtain strong law of large numbers for the randomly weighted sums of arrays of rowwise widely negative dependent random variables.

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Publication Details

Journal
Theory of Probability and Its Applications
Published
2025-10-01
DOI
https://doi.org/10.1137/s0040585x97t99246x
Primary Topic
Probability and Risk Models
Type
article
Field-Weighted Citation Impact
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article

Complete Convergence and Complete Moment Convergence for Randomly Weighted Sums of Widely Negative Dependent Random Variables under Sublinear Expectations

M. M. Wang, Xiaomeng Wang
Theory of Probability and Its Applications
Probability and Risk Models
article

Complete Convergence and Complete Moment Convergence for Randomly Weighted Sums of Widely Negative Dependent Random Variables under Sublinear Expectations

M. M. Wang, Xiaomeng Wang
article en

Abstract

It is well known that the convergence properties for weighted sums of random variables are important topics in probability limit theory. In this paper, under some suitable conditions, we study the complete convergence and complete moment convergence for randomly weighted sums of arrays of rowwise widely negative dependent random variables in sublinear expectation space, which extend the corresponding ones in classical probability space to the case of sublinear expectation space. As an application, we obtain strong law of large numbers for the randomly weighted sums of arrays of rowwise widely negative dependent random variables.

Theory of Probability and Its ApplicationsVol. 70(3)
Openalex Percentile: Top 62%
Probability and Risk Models
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