# Metropolis–Hastings algorithm

## Papers overview

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2018

2018

- 2018

The dimension and the complexity of inference problems have dramatically increased in statistical signal processing. It thus… (More)

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2015

2015

- 2015

This article is a self-contained introduction to the MetropolisHastings algorithm, this ubiquitous tool for producing dependent… (More)

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2013

2013

- IEEE International Conference on Acoustics…
- 2013

Markov Chain Monte Carlo methods are widely used in signal processing and communications for statistical inference and stochastic… (More)

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2007

2007

- NeuroImage
- 2007

Dynamic causal modelling (DCM) is a modelling framework used to describe causal interactions in dynamical systems. It was… (More)

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2004

2004

- 2004

This paper proposes methods to improve Monte Carlo estimates when the Independent Metropolis-Hastings Algorithm (IMHA) is used… (More)

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2002

2002

- 2002

The Metropolis-Hastings algorithm transforms a given stochastic matrix into a reversible stochastic matrix with a prescribed… (More)

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Highly Cited

2001

Highly Cited

2001

- 2001

This article provides a framework for estimating the marginal likelihood for the purpose of Bayesian model comparisons . The… (More)

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1998

1998

- 1998

This paper deals with the asymptotic properties of the Metropolis-Hastings algorithm, when the distribution of interest is… (More)

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1998

Highly Cited

1998

- 1998

A proper choice of a proposal distribution for Markov chain Monte Carlo methods, for example for the Metropolis±Hastings… (More)

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1995

Highly Cited

1995

- 1995

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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