# Markov chain Monte Carlo

## Papers overview

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2017

2017

- 2017

A novel class of non-reversible Markov chain Monte Carlo schemes relying on continuous-time piecewisedeterministic Markov… (More)

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2010

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2010

- 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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2008

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2008

- 2008

The use of simulation for high-dimensional intractable computations has revolutionized applied mathematics. Designing, improving… (More)

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2006

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2006

- IEEE Transactions on Multimedia
- 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

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2005

- 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

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2004

- Bioinformatics
- 2004

MOTIVATION
Bayesian estimation of phylogeny is based on the posterior probability distribution of trees. Currently, the only… (More)

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2000

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2000

- 2000

In the context of sample-based computation of Bayesian posterior distributions in complex stochastic systems, this chapter… (More)

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1998

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1998

- 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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1998

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1998

- 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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1995

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1995

- 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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