Reversible-jump Markov chain Monte Carlo

Known as: Transdimensional MCMC, Reversible jump Markov chain Monte Carlo, Reversible jump 
In computational statistics, reversible-jump Markov chain Monte Carlo is an extension to standard Markov chain Monte Carlo (MCMC) methodology that… (More)
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Topic mentions per year

Topic mentions per year

1972-2018
0204019722018

Papers overview

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2008
2008
A key issue in the design of a mobile satellite communication system is an adequate knowledge of the statistical behavior of the… (More)
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2006
2006
A key issue in the design of a mobile satellite communication system is an adequate knowledge of the statistical behavior of the… (More)
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2005
2005
In this paper, an approach for automatically clustering a data set into a number of fuzzy partitions with a simulated annealing… (More)
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2004
2004
This paper addresses the problem of Bayesian inference in autoregressive (AR) processes in the case where the correct model order… (More)
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Highly Cited
2003
Highly Cited
2003
The major implementational problem for reversible jump Markov chain Monte Carlo methods is that there is commonly no natural way… (More)
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2003
2003
We consider the problem of constructing gene regulatory networks from expression data using the probabilistic-Booleannetwork… (More)
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2001
2001
Many problems in data analysis, especially in signal and image processing, require the unsupervised partitioning of data into a… (More)
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1999
1999
In this paper we will treat input selection for a radial basis function (RBF) like classifier within a Bayesian framework. We… (More)
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1998
1998
This paper deals with the problem of unsupervised image segmentation. Our goal is to propose a method which is able to segment a… (More)
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1998
1998
Markov Chain Monte Carlo (MCMC) samplers have been a very powerful methodology for estimating signal parameters. With the… (More)
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