Abstract
With any Harris-recurrent Markov chain one can associate a sequence of random times at which the chain has the same distribution, and the chain can thereby be shown to be equivalent to one having a recurrence point. This idea makes available a regeneration scheme for such chains, which is exploited in this paper to prove the ergodic theorem for semi-Markov processes, and a renewal theorem for Markov chains on a general state space.
Cite
CITATION STYLE
Athreya, K. B., McDonald, D., & Ney, P. (2007). Limit Theorems for Semi-Markov Processes and Renewal Theory for Markov Chains. The Annals of Probability, 6(5). https://doi.org/10.1214/aop/1176995429
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