FAQ

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)
Wikipedia

Topic mentions per year

Topic mentions per year

1972-2018
0204019722018

Related topics

Related topics

5 relations

Broader (1)

Computational statistics
Markov chain Monte CarloMathematical modelPseudo-random number samplingSimulation

Related mentions per year

Related mentions per year

1936-2018
19401960198020002020
Reversible-jump Markov chain Monte Carlo
Simulation
Mathematical model
Markov chain Monte Carlo
Computational statistics
Pseudo-random number sampling

Papers overview

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2008
2008
A novel approach to model the land mobile satellite channel through reversible jump markov chain monte carlo technique
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
SAT04-2: Accurate and Novel Modeling of the Land Mobile Satellite Channel using Reversible Jump Markov Chain Monte Carlo Technique
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
Simulated annealing using a reversible jump Markov chain Monte Carlo algorithm for fuzzy clustering
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
Reversible Jump Markov Chain Monte Carlo Strategies for Bayesian Model Selection in Autoregressive Processes
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
Efficient construction of reversible jump Markov chain Monte Carlo proposal distributions
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
Construction of genomic networks using mutual-information clustering and reversible-jump Markov-chain-Monte-Carlo predictor design
We consider the problem of constructing gene regulatory networks from expression data using the probabilistic-Booleannetwork… (More)
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2001
2001
Minimum-Entropy Data Clustering Using Reversible Jump Markov Chain Monte Carlo
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
On Input Selection with Reversible Jump Markov Chain Monte Carlo Sampling
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
Bayesian Color Image Segmentation Using Reversible Jump Markov Chain Monte Carlo
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
Detection and estimation of signals by reversible jump Markov chain Monte Carlo computations
Markov Chain Monte Carlo (MCMC) samplers have been a very powerful methodology for estimating signal parameters. With the… (More)
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