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Strong convergence of -mixing random sequences

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Abstract The strong limit theory is one of the most important problems in the probability theory. Some results on the convergence of -mixing random sequences have been presented. In this… Click to show full abstract

Abstract The strong limit theory is one of the most important problems in the probability theory. Some results on the convergence of -mixing random sequences have been presented. In this paper, we study the almost sure convergence for -mixing random sequences. As a result, we generalize partial results of Wu and Jiang [Wu, Q. Y., and Y. Y. Jiang. 2008. Some strong limit theorems for -mixing sequences of random variables. Statistics & Probability Letters 78:1017–23.]. We obtain the mainstream and some corresponding conclusions by using truncation methods and the generalized three-series theorem. A known result is generalized in this paper.

Keywords: mixing random; convergence mixing; random sequences; strong convergence

Journal Title: Communications in Statistics - Theory and Methods
Year Published: 2019

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