Markov chain comparison.
Dyer, Martin, Goldberg, Leslie Ann, Jerrum, Mark, Martin, Russell (2006)
Probability Surveys [electronic only]
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Displaying similar documents to “A martingale proof of Dobrushin's theorem for non-homogeneous Markov chains.”
Markov chain comparison.
Sufficient conditions for torpid mixing of parallel and simulated tempering.
Woodard, Dawn B., Schmidler, Scott C., Huber, Mark (2009)
Electronic Journal of Probability [electronic only]
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On variance conditions for Markov chain CLTs.
Häggström, Olle, Rosenthal, Jeffrey S. (2007)
Electronic Communications in Probability [electronic only]
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Stein's method and descents after riffle shuffles.
Fulman, Jason (2005)
Electronic Journal of Probability [electronic only]
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First hitting place probabilities for a discrete version of the Ornstein-Uhlenbeck process.
Guilbault, Jean-Luc, Lefebvre, Mario (2009)
International Journal of Mathematics and Mathematical Sciences
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Mixing time bounds via the spectral profile.
Goel, Sharad, Montenegro, Ravi, Tetali, Prasad (2006)
Electronic Journal of Probability [electronic only]
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Bounding fastest mixing.
Roch, Sébastien (2005)
Electronic Communications in Probability [electronic only]
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On the Markov chain central limit theorem.
Jones, Galin L. (2004)
Probability Surveys [electronic only]
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The tail structure of nonhomogeneous finite state Markov chains: survey
Marius Losifescu (1979)
Banach Center Publications
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Generic properties of learning systems
Tomasz Szarek (2000)
Annales Polonici Mathematici
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It is shown that the set of learning systems having a singular stationary distribution is generic in the family of all systems satisfying the average contractivity condition.
Large deviations asymptotics and the spectral theory of multiplicatively regular Markov processes.
Kontoyiannis, Ioannis, Meyn, S.P. (2005)
Electronic Journal of Probability [electronic only]
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Invariant measures for iterated function systems
Tomasz Szarek (2000)
Annales Polonici Mathematici
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A new criterion for the existence of an invariant distribution for Markov operators is presented. Moreover, it is also shown that the unique invariant distribution of an iterated function system is singular with respect to the Hausdorff measure.