Author:
LIU YUANYUAN,ZHANG HANJUN,ZHAO YIQIANG
Abstract
AbstractIn this paper, we investigate computable lower bounds for the best strongly ergodic rate of convergence of the transient probability distribution to the stationary distribution for stochastically monotone continuous-time Markov chains and reversible continuous-time Markov chains, using a drift function and the expectation of the first hitting time on some state. We apply these results to birth–death processes, branching processes and population processes.
Publisher
Cambridge University Press (CUP)
Subject
Mathematics (miscellaneous)
Cited by
6 articles.
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