Stochastic approximation of the paths of killed Markov processes conditioned on survival

IF 0.5 4区 数学 Q4 STATISTICS & PROBABILITY Electronic Communications in Probability Pub Date : 2021-12-06 DOI:10.1214/22-ecp475
Oliver Tough
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Abstract

Reinforced processes are known to provide a stochastic representation for the quasi-stationary distribution of a given killed Markov process – describing the killed Markov process at fixed time instants. In this paper we shall adapt the construction to provide a pathwise description. We also obtain a stochastic approximation for the quasi-limiting distributions of reducible killed Markov processes as a corollary.
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以生存为条件的死亡马尔可夫过程路径的随机逼近
众所周知,强化过程为给定的杀死的马尔可夫过程的准平稳分布提供了随机表示——描述了固定时刻的杀死的马尔科夫过程。在本文中,我们将调整结构以提供路径描述。作为推论,我们还得到了可约死马尔可夫过程的拟极限分布的随机近似。
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来源期刊
Electronic Communications in Probability
Electronic Communications in Probability 工程技术-统计学与概率论
CiteScore
1.00
自引率
0.00%
发文量
38
审稿时长
6-12 weeks
期刊介绍: The Electronic Communications in Probability (ECP) publishes short research articles in probability theory. Its sister journal, the Electronic Journal of Probability (EJP), publishes full-length articles in probability theory. Short papers, those less than 12 pages, should be submitted to ECP first. EJP and ECP share the same editorial board, but with different Editors in Chief.
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