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Strong law of large numbers and Chover's law of the iterated logarithm under sub-linear expectations

机译:在亚线性预期下,大量大量和切片迭代对数定律的强烈规律

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Limit theorems for sub-linear expectations are challenging field which have raised a large number of issues of interest recently. The aim of this paper is to establish general strong law of large numbers and the Chover's law of the iterated logarithm for a sequence of random variables under a sub-linear expectation space. As applications, several results on strong laws of large numbers which contain Marcinkiewicz strong law of large numbers and the Chover's law of the iterated logarithm for extended independence and identically distributed random variables have been generalized to the sub-linear expectation space context. Our results of strong laws of large numbers are more general than some related results previously reported obtained by Zhang (2016) [23], Cheng (2016) [5], Liu et al. (2015) [10] and Chen (2016) [3]. There is no report on the Chover's law of the iterated logarithm under sub-linear expectation, and we provide a method to study this subject. (C) 2017 Elsevier Inc. All rights reserved.
机译:子线性预期的极限定理是挑战的领域,这些领域最近提出了大量利益问题。本文的目的是建立大量大量的强大规律,并在子线性期望空间下为一系列随机变量进行迭代对数的封闭对数。作为应用程序,含有Marcinkiewicz的强大规律的若干大量法律的结果概述了扩展独立性的迭代对数和相同分布的随机变量的Chover的对数的大量规律已经推广到子线性期望空间上下文。我们强大的大量法律的结果比张(2016年)获得的一些先前报告的一些相关结果更广泛[23],程(2016)[5],Liu等。 (2015)[10]和陈(2016)[3]。在子线性期望下,没有关于迭代对数的切片定律的报告,我们提供了一种研究这个主题的方法。 (c)2017年Elsevier Inc.保留所有权利。

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