Multiple-try Metropolis

Multiple-try Metropolis is a sampling method that is a modified form of the Metropolis-Hastings method, first presented by Liu, Liang, and Wong in… (More)
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Topic mentions per year

2007-2015
01220072015

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2016
2016
One of the most widely used samplers in practice is the component-wise MetropolisHastings (CMH) sampler that updates in turn the… (More)
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2015
2015
We propose that entity queries are generated via a two-step process: users first select entity facts that can distinguish target… (More)
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2010
2010
The Reversible Jump (RJ) algorithm (Green, 1995) is one of the most used Markov chain Monte Carlo algorithms for Bayesian… (More)
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2010
2010
We propose a generalization of the Multipletry Metropolis (MTM) algorithm of Liu et al. (2000), which is based on drawing several… (More)
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2007
2007
The Multiple-Try Metropolis is a recent extension of the Metropolis algorithm in which the next state of the chain is selected… (More)
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2007
2007
We present Metropolis Instant Radiosity (MIR), an unbiased algorithm to solve the Light Transport problem. MIR is a hybrid… (More)
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