Abstract
In 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 ones, 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. doi:10.1017/S1446181108000114
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