稳定-再生多稳定模型的尾部过程

IF 1.5 2区 数学 Q2 STATISTICS & PROBABILITY
Bernoulli Pub Date : 2021-10-14 DOI:10.3150/22-bej1582
Shuyang Bai, Yizao Wang
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引用次数: 0

摘要

研究了一类由多重稳定积分和无限均值更新过程定义的离散平稳过程。模型可能分别表现出短期或长期依赖的行为,这取决于参数。主要的贡献是建立了一个相变的尾巴过程,表征局部集群的极端。此外,在短期依赖状态下,该模型还提供了一个极值指标与候选极值指标不同的例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tail processes for stable-regenerative multiple-stable model
We investigate a family of discrete-time stationary processes defined by multiple stable integrals and renewal processes with infinite means. The model may exhibit behaviors of short-range or long-range dependence, respectively, depending on the parameters. The main contribution is to establish a phase transition in terms of the tail processes that characterize local clustering of extremes. Moreover, in the short-range dependence regime, the model provides an example where the extremal index is different from the candidate extremal index.
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来源期刊
Bernoulli
Bernoulli 数学-统计学与概率论
CiteScore
3.40
自引率
0.00%
发文量
116
审稿时长
6-12 weeks
期刊介绍: BERNOULLI is the journal of the Bernoulli Society for Mathematical Statistics and Probability, issued four times per year. The journal provides a comprehensive account of important developments in the fields of statistics and probability, offering an international forum for both theoretical and applied work. BERNOULLI will publish: Papers containing original and significant research contributions: with background, mathematical derivation and discussion of the results in suitable detail and, where appropriate, with discussion of interesting applications in relation to the methodology proposed. Papers of the following two types will also be considered for publication, provided they are judged to enhance the dissemination of research: Review papers which provide an integrated critical survey of some area of probability and statistics and discuss important recent developments. Scholarly written papers on some historical significant aspect of statistics and probability.
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