Criteria for Geometric and Algebraic Transience for Discrete-Time Markov Chains

被引:1
|
作者
Mao, Yong-Hua [1 ]
Song, Yan-Hong [2 ]
机构
[1] Beijing Normal Univ, Sch Math Sci, Lab Math & Complex Syst, Minist Educ, Beijing 100875, Peoples R China
[2] Zhongnan Univ Econ & Law, Sch Stat & Math, Wuhan 430073, Peoples R China
基金
中国国家自然科学基金;
关键词
Markov chain; Geometric transience; Algebraic transience; First return time; Last exit time; Drift condition; SUBGEOMETRIC RATES; CONVERGENCE; ERGODICITY; PROPERTY;
D O I
10.1007/s10959-021-01105-5
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We present new criteria for geometric and algebraic transience for discrete-time transient Markov chains on general state spaces, based on the moment of the last exit time, the modified moment of the first return time and the drift condition for the transition kernel. These criteria turn out to be more convenient to use, supplementing and extending conditions introduced by Mao and Song [Stochastic Process. Appl. 124 (2014) 1648-1678]. Several applications are presented including discrete queueing Markov chains, Galton-Watson branching processes, downwardly skip-free chains, unrestricted random walks and autoregressive models of order one.
引用
收藏
页码:1974 / 2008
页数:35
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