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arXiv 2008.07332math.PR
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具有(几乎)尖锐依赖条件的Berry-Esseen界

A Berry-Esseen bound with (almost) sharp dependence conditions

Moritz Jirak

摘要:

假设平稳序列的(归一化)部分和收敛于标准正态随机变量。给定足够的矩,我们什么时候有$n^{-1/2}$在一致度量上的收敛速率,换句话说,我们什么时候有最优的Berry-Esseen界?我们研究这个问题在一个相当一般的框架,并找到(几乎)尖锐的依赖条件。这个结果适用于许多不同的过程和动力系统。作为具体的、突出的例子,我们研究了一般线性群上的加倍映射2x mod 1和左随机游动的函数。

英文摘要:

Suppose that the (normalised) partial sum of a stationary sequence converges to a standard normal random variable. Given sufficiently moments, when do we have a rate of convergence of $n^{-1/2}$ in the uniform metric, in other words, when do we have the optimal Berry-Esseen bound? We study this question in a quite general framework and find the (almost) sharp dependence conditions. The result applies to many different processes and dynamical systems. As specific, prominent examples, we study functions of the doubling map 2x mod 1 and the left random walk on the general linear group.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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