How to Combine Fast Heuristic Markov Chain Monte Carlo with Slow Exact Sampling

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dc.creatorAldous, David J.
dc.creatorBandyopadhyay, Antar
dc.date2001-06-19
dc.date.accessioned2026-07-07T04:42:14Z
dc.date.available2026-07-07T04:42:14Z
dc.descriptionUse each of n exact samples as the initial state for a MCMC sampler run for m steps. We give confidence intervals for accuracy of estimators which are always valid and which, in certain settings, are almost as good as the intervals one would obtain if the (unknown) mixing time of the chain were known.
dc.description14 pages
dc.identifierhttps://arxiv.org/abs/math/0106159
dc.identifierhttp://arxiv.org/abs/math/0106159
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/61689
dc.subjectProbability
dc.subject60
dc.titleHow to Combine Fast Heuristic Markov Chain Monte Carlo with Slow Exact Sampling
dc.typetext

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