Cramér type moderate deviation for random walks conditioned to stay positive

IF 0.9 4区 数学 Q3 STATISTICS & PROBABILITY Statistics & Probability Letters Pub Date : 2024-08-28 DOI:10.1016/j.spl.2024.110258
Mingyang Sun
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Abstract

We establish a Cramér type moderate deviation for random walks conditioned to stay positive, which gives the relative error for the central limit theorem proved by Iglehart (1974). Unlike the traditional technique of conjugate distributions, our approach is based on the strong approximation between random walks and Brownian motion in the same vein as Grama and Xiao (2021).

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有条件保持正值的随机游走的克拉梅尔型适度偏差
我们为保持正值的随机游走建立了克拉梅尔型适度偏差,这给出了伊格尔哈特(1974 年)证明的中心极限定理的相对误差。与共轭分布的传统技术不同,我们的方法基于随机游走和布朗运动之间的强近似,与 Grama 和 Xiao(2021 年)的方法一脉相承。
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来源期刊
Statistics & Probability Letters
Statistics & Probability Letters 数学-统计学与概率论
CiteScore
1.60
自引率
0.00%
发文量
173
审稿时长
6 months
期刊介绍: Statistics & Probability Letters adopts a novel and highly innovative approach to the publication of research findings in statistics and probability. It features concise articles, rapid publication and broad coverage of the statistics and probability literature. Statistics & Probability Letters is a refereed journal. Articles will be limited to six journal pages (13 double-space typed pages) including references and figures. Apart from the six-page limitation, originality, quality and clarity will be the criteria for choosing the material to be published in Statistics & Probability Letters. Every attempt will be made to provide the first review of a submitted manuscript within three months of submission. The proliferation of literature and long publication delays have made it difficult for researchers and practitioners to keep up with new developments outside of, or even within, their specialization. The aim of Statistics & Probability Letters is to help to alleviate this problem. Concise communications (letters) allow readers to quickly and easily digest large amounts of material and to stay up-to-date with developments in all areas of statistics and probability. The mainstream of Letters will focus on new statistical methods, theoretical results, and innovative applications of statistics and probability to other scientific disciplines. Key results and central ideas must be presented in a clear and concise manner. These results may be part of a larger study that the author will submit at a later time as a full length paper to SPL or to another journal. Theory and methodology may be published with proofs omitted, or only sketched, but only if sufficient support material is provided so that the findings can be verified. Empirical and computational results that are of significant value will be published.
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