弱亚临界lims环境下连续状态分支过程的消光速度

IF 0.7 4区 数学 Q3 STATISTICS & PROBABILITY Journal of Applied Probability Pub Date : 2023-12-01 DOI:10.1017/jpr.2023.92
Natalia Cardona-Tobón, Juan Carlos Pardo
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引用次数: 1

摘要

我们继续在更一般的分支机制下系统地研究了lsamvy环境中连续状态分支过程的灭绝速度。这里,我们在分支机制是规则变化的假设下处理弱亚临界状态。我们扩展了Li和Xu(2018)以及Palau等人(2016)的最新结果,其中假设分支机制是稳定的,并补充了Bansaye等人(2021)以及Cardona-Tobón和Pardo(2021)的最新文章,其中分别处理了临界、强和中等亚临界情况。我们的方法结合了分支过程的路径分析及其lsamvy环境,lsamvy过程的波动理论,以及lsamvy过程的指数泛函的渐近行为。我们的方法受到之前引用的最后两篇论文以及Afanasyev等人(2012)的启发,其中获得了类似物。
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Speed of extinction for continuous-state branching processes in a weakly subcritical Lévy environment
We continue with the systematic study of the speed of extinction of continuous-state branching processes in Lévy environments under more general branching mechanisms. Here, we deal with the weakly subcritical regime under the assumption that the branching mechanism is regularly varying. We extend recent results of Li and Xu (2018) and Palau et al. (2016), where it is assumed that the branching mechanism is stable, and complement the recent articles of Bansaye et al. (2021) and Cardona-Tobón and Pardo (2021), where the critical and the strongly and intermediate subcritical cases were treated, respectively. Our methodology combines a path analysis of the branching process together with its Lévy environment, fluctuation theory for Lévy processes, and the asymptotic behaviour of exponential functionals of Lévy processes. Our approach is inspired by the last two previously cited papers, and by Afanasyev et al. (2012), where the analogue was obtained.
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来源期刊
Journal of Applied Probability
Journal of Applied Probability 数学-统计学与概率论
CiteScore
1.50
自引率
10.00%
发文量
92
审稿时长
6-12 weeks
期刊介绍: Journal of Applied Probability is the oldest journal devoted to the publication of research in the field of applied probability. It is an international journal published by the Applied Probability Trust, and it serves as a companion publication to the Advances in Applied Probability. Its wide audience includes leading researchers across the entire spectrum of applied probability, including biosciences applications, operations research, telecommunications, computer science, engineering, epidemiology, financial mathematics, the physical and social sciences, and any field where stochastic modeling is used. A submission to Applied Probability represents a submission that may, at the Editor-in-Chief’s discretion, appear in either the Journal of Applied Probability or the Advances in Applied Probability. Typically, shorter papers appear in the Journal, with longer contributions appearing in the Advances.
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