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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.
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Lin et al. (2019) studied this question.
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