Complete convergence and strong law of large numbers for arrays of random variables under sublinear expectations

Yiwei Lin and Xinwei Feng

Communications in Statistics - Theory and Methods, 2020, vol. 49, issue 23, 5866-5882

Abstract: In this article, complete convergence theorems are obtained for arrays of widely negative dependent random variables under sublinear expectations. We improve the corresponding results in probability space, and provide a new method to prove them. As an application, we obtain the strong law of large numbers for arrays of random variables under sublinear expectations.

Date: 2020
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DOI: 10.1080/03610926.2019.1625924

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