Markov chain Monte Carlo

Known as: Monte Carlo markov chain, Markov Chain Monte Carlo Simulations, Markov clustering 
In statistics, Markov chain Monte Carlo (MCMC) methods are a class of algorithms for sampling from a probability distribution based on constructing a… (More)
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2017
2017
A novel class of non-reversible Markov chain Monte Carlo schemes relying on continuous-time piecewisedeterministic Markov… (More)
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Highly Cited
2010
Highly Cited
2010
In Bayesian inference, the posterior distribution for parameters θ ∈ Θ is given by π(θ|y) ∝ π(y|θ)π(θ), where one’s prior beliefs… (More)
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Highly Cited
2008
Highly Cited
2008
The use of simulation for high-dimensional intractable computations has revolutionized applied mathematics. Designing, improving… (More)
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Highly Cited
2006
Highly Cited
2006
Videos are composed of many shots that are caused by different camera operations, e.g., on/off operations and switching between… (More)
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2005
Highly Cited
2005
Abstract We look at adaptive MCMC algorithms that generate stochastic processes based on sequences of transition kernels, where… (More)
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2004
Highly Cited
2004
MOTIVATION Bayesian estimation of phylogeny is based on the posterior probability distribution of trees. Currently, the only… (More)
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2000
Highly Cited
2000
In the context of sample-based computation of Bayesian posterior distributions in complex stochastic systems, this chapter… (More)
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Highly Cited
1998
Highly Cited
1998
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org… (More)
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Highly Cited
1998
Highly Cited
1998
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org… (More)
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Highly Cited
1995
Highly Cited
1995
We present several Markov chain Monte Carlo simulation methods that have been widely used in recent years in econometrics and… (More)
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