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Rosenthal's Inequalities for Asymptotically Almost Negatively Associated Random Variables Under Upper Expectations 被引量:3
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作者 Ning ZHANG yuting lan 《Chinese Annals of Mathematics,Series B》 SCIE CSCD 2019年第1期117-130,共14页
In this paper, the authors generalize the concept of asymptotically almost negatively associated random variables from the classic probability space to the upper expectation space. Within the framework, the authors pr... In this paper, the authors generalize the concept of asymptotically almost negatively associated random variables from the classic probability space to the upper expectation space. Within the framework, the authors prove some different types of Rosenthal's inequalities for sub-additive expectations. Finally, the authors prove a strong law of large numbers as the application of Rosenthal's inequalities. 展开更多
关键词 UPPER expectations ASYMPTOTICALLY ALMOST negatively associated Rosenthal's INEQUALITIES STRONG law of large NUMBERS
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非线性概率下行内负相协随机变量阵列的对数律 被引量:2
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作者 兰玉婷 冯新伟 《中国科学:数学》 CSCD 北大核心 2019年第8期1087-1102,共16页
本文在上概率空间中给出随机变量负相协的定义,该定义弱于现有非线性概率下的某些独立性概念.在此框架下,本文通过对随机变量阵列收敛性质的研究,得到上概率下行内负相协随机变量阵列的对数律,并同时给出依容度收敛的弱对数律.
关键词 非线性概率 负相协随机变量 对数律 随机变量阵列
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