Displaying similar documents to “Sufficient conditions for torpid mixing of parallel and simulated tempering.”

Markov chain comparison.

Dyer, Martin, Goldberg, Leslie Ann, Jerrum, Mark, Martin, Russell (2006)

Probability Surveys [electronic only]

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Bounding fastest mixing.

Roch, Sébastien (2005)

Electronic Communications in Probability [electronic only]

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Hit and run as a unifying device

Hans C. Andersen, Persi Diaconis (2007)

Journal de la société française de statistique

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We present a generalization of hit and run algorithms for Markov chain Monte Carlo problems that is ‘equivalent’ to data augmentation and auxiliary variables. These algorithms contain the Gibbs sampler and Swendsen-Wang block spin dynamics as special cases. The unification allows theorems, examples, and heuristics developed in one domain to illuminate parallel domains.