$\rho$-混合随机变量的Berry- Esseen界及其应用

IF 0.5 4区 数学 Q4 STATISTICS & PROBABILITY Theory of Probability and its Applications Pub Date : 2022-11-07 DOI:10.1137/s0040585x97t991027
C. Lu, W. Yu, R. L. Ji, H. L. Zhou, X. J. Wang
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引用次数: 0

摘要

概率论及其应用,第67卷,第3期,第415-433页,2022年11月。最近,王和胡[理论概率。苹果。[j], 63 (2019), pp. 479—499]通过使用鞅方法建立了$\rho$ -混合随机变量(r.v.s)的Berry—Esseen界,其正态逼近率为$O(n^{-1/6}\log n)$。本文建立了一些关于正态逼近速率的一般结果,其中包括Wang和Hu的相应结果。在适当的条件下,速率可高达$O(n^{-1/5})$或$O(n^{-1/4}\log^{1/2} n)$。作为应用,我们得到了基于$\rho$混合随机样本的样本分位数的Berry—Esseen界。最后,通过数值模拟验证了理论结果的有限样本性能。
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A Note on the Berry--Esseen Bounds for $\rho$-Mixing Random Variables and Their Applications
Theory of Probability &Its Applications, Volume 67, Issue 3, Page 415-433, November 2022.
Recently, Wang and Hu [Theory Probab. Appl., 63 (2019), pp. 479--499] established the Berry--Esseen bounds for $\rho$-mixing random variables (r.v.'s) with the rate of normal approximation $O(n^{-1/6}\log n)$ by using the martingale method. In this paper, we establish some general results on the rates of normal approximation, which include the corresponding ones of Wang and Hu. The rate can be as high as $O(n^{-1/5})$ or $O(n^{-1/4}\log^{1/2} n)$ under some suitable conditions. As applications, we obtain the Berry--Esseen bounds of sample quantiles based on $\rho$-mixing random samples. Finally, we also present some numerical simulations to demonstrate finite sample performances of the theoretical result.
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来源期刊
Theory of Probability and its Applications
Theory of Probability and its Applications 数学-统计学与概率论
CiteScore
1.00
自引率
16.70%
发文量
54
审稿时长
6 months
期刊介绍: Theory of Probability and Its Applications (TVP) accepts original articles and communications on the theory of probability, general problems of mathematical statistics, and applications of the theory of probability to natural science and technology. Articles of the latter type will be accepted only if the mathematical methods applied are essentially new.
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