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Future independent times and Markov chains
Authors:Hermann Thorisson
Institution:(1) Department of Mathematics, Chalmers University of Technology, S-412 96 Göteborg, Sweden
Abstract:Summary A random timeT is a future independent mgr time for a Markov chain (X n ) 0 infin ifT is independent of (X T+n ) n /infin =0 and if (X T+n ) n /infin =0 is a Markov chain with initial distribution mgr and the same transition probabilities as (X n ) 0 infin . This concept is used (with mgr the ldquoconditional stationary measurerdquo) to give a new and short proof of the basic limit theorem of Markov chains, improving somewhat the result in the null-recurrent case.This work was supported by the Swedish Natural Science Research Council and done while the author was visiting the Department of Statistics, Stanford University
Keywords:Markov chain  future independent time  regeneration  stationary measure  coupling
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