弱依赖条件下的Berry-Esseen定理

IF 2.1 1区 数学 Q1 STATISTICS & PROBABILITY
M. Jirak
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引用次数: 34

摘要

设{Xk}k≥Z为平稳序列。在给定p∈(2,3]矩和弱依赖条件下,我们给出了最优速率np/2−1的Berry-Esseen定理。当p≥4时,我们也证明了在q≥1的lq范数上的收敛速率为n1/2。对于任意p / b / 2,我们也得到了非均匀速率。这导致了从时间序列文献中许多线性和非线性过程的新的最优结果,但也包括动力系统理论的例子。证明是基于特征函数、耦合和条件参数和理想度量的混合方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Berry–Esseen theorems under weak dependence
Let {Xk}k≥Z be a stationary sequence. Given p∈(2,3] moments and a mild weak dependence condition, we show a Berry–Esseen theorem with optimal rate np/2−1. For p≥4, we also show a convergence rate of n1/2 in Lq-norm, where q≥1. Up to logn factors, we also obtain nonuniform rates for any p>2. This leads to new optimal results for many linear and nonlinear processes from the time series literature, but also includes examples from dynamical system theory. The proofs are based on a hybrid method of characteristic functions, coupling and conditioning arguments and ideal metrics.
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来源期刊
Annals of Probability
Annals of Probability 数学-统计学与概率论
CiteScore
4.60
自引率
8.70%
发文量
61
审稿时长
6-12 weeks
期刊介绍: The Annals of Probability publishes research papers in modern probability theory, its relations to other areas of mathematics, and its applications in the physical and biological sciences. Emphasis is on importance, interest, and originality – formal novelty and correctness are not sufficient for publication. The Annals will also publish authoritative review papers and surveys of areas in vigorous development.
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