The distribution of Mixing Times in Markov Chains

The distribution of the "mixing time" or the "time to stationarity" in a discrete time irreducible Markov chain, starting in state i, can be defined as the number of trials to reach a state sampled from the stationary distribution of the Markov chain. Expressions for the probabil...

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Bibliographic Details
Main Author: Hunter, JJ (Author)
Format: Others
Published: arXiv, 2012-01-19T22:07:38Z.
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Online Access:Get fulltext
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042 |a dc 
100 1 0 |a Hunter, JJ  |e author 
245 0 0 |a The distribution of Mixing Times in Markov Chains 
260 |b arXiv,   |c 2012-01-19T22:07:38Z. 
500 |a arXiv:1111.0151 
520 |a The distribution of the "mixing time" or the "time to stationarity" in a discrete time irreducible Markov chain, starting in state i, can be defined as the number of trials to reach a state sampled from the stationary distribution of the Markov chain. Expressions for the probability generating function, and hence the probability distribution of the mixing time starting in state i are derived and special cases explored. This extends the results of the author regarding the expected time to mixing [J.J. Hunter, Mixing times with applications to perturbed Markov chains, Linear Algebra Appl. 417 (2006) 108-123], and the variance of the times to mixing, [J.J. Hunter, Variances of first passage times in a Markov chain with applications to mixing times, Linear Algebra Appl. 429 (2008) 1135-1162]. Some new results for the distribution of recurrence and first passage times in three-state Markov chain are also presented. 
540 |a OpenAccess 
650 0 4 |a Markov chains 
650 0 4 |a Stationary distribution 
650 0 4 |a First passage times 
650 0 4 |a Hitting times 
650 0 4 |a Mixing times 
650 0 4 |a time to stationarity 
650 0 4 |a Kemeny constant 
650 0 4 |a distributions 
655 7 |a Commissioned Report 
856 |z Get fulltext  |u http://hdl.handle.net/10292/3280