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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Format: | Others |
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arXiv,
2012-01-19T22:07:38Z.
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Online Access: | Get fulltext |
LEADER | 01572 am a22002413u 4500 | ||
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001 | 3280 | ||
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 |