Complete convergence for weighted sums of random variables satisfying generalized Rosenthal-type inequalities*

Pub Date : 2024-02-16 DOI:10.1007/s10986-024-09618-2
Chang Liu, Yu Miao
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Abstract

In the paper, we establish the complete convergence for weighted sums of random variables satisfying generalized Rosenthal-type inequalities. Our results partially extend some known results and weaken their conditions. As statistical applications, we study the nonparametric regression model and obtain the complete consistency of the weighted regression estimator for the unknown regression functions.

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满足广义罗森塔尔型不等式的随机变量加权和的完全收敛性*
在本文中,我们建立了满足广义罗森塔尔型不等式的随机变量加权和的完全收敛性。我们的结果部分扩展了一些已知结果,并削弱了它们的条件。在统计应用方面,我们研究了非参数回归模型,并获得了未知回归函数的加权回归估计器的完全一致性。
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