次线性期望下ND随机变量的完全矩收敛性

IF 1 4区数学

Applied Mathematics-A Journal of Chinese Universities Series B Pub Date : 2023-09-12 DOI:10.1007/s11766-023-3759-z

Feng-xiang Feng, Ding-cheng Wang, Qun-ying Wu

引用次数: 0

摘要

本文建立了行负相关随机变量阵列在次线性期望下完全矩收敛的一般结果。作为应用，我们得到了一系列关于ND随机变量在次线性期望下的完全矩收敛性的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Complete moment convergence for ND random variables under the sub-linear expectations

In this article, we establish a general result on complete moment convergence for arrays of rowwise negatively dependent(ND) random variables under the sub-linear expectations. As applications, we can obtain a series of results on complete moment convergence for ND random variables under the sub-linear expectations.

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来源期刊

Applied Mathematics-A Journal of Chinese Universities Series B MATHEMATICS, APPLIED-

自引率

10.00%

发文量

期刊介绍： Applied Mathematics promotes the integration of mathematics with other scientific disciplines, expanding its fields of study and promoting the development of relevant interdisciplinary subjects. The journal mainly publishes original research papers that apply mathematical concepts, theories and methods to other subjects such as physics, chemistry, biology, information science, energy, environmental science, economics, and finance. In addition, it also reports the latest developments and trends in which mathematics interacts with other disciplines. Readers include professors and students, professionals in applied mathematics, and engineers at research institutes and in industry. Applied Mathematics - A Journal of Chinese Universities has been an English-language quarterly since 1993. The English edition, abbreviated as Series B, has different contents than this Chinese edition, Series A.