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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… 
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Broader (1)

Computational statistics
List of numerical analysis topicsMarkov chain Monte CarloMathematical modelPseudo-random number sampling

Papers overview

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2019
2019
Discrete Reversible Jump Markov Chain Monte Carlo Trajectory Clustering
We present a discrete reversible jump Markov Chain Monte Carlo (rjMCMC) algorithm to build lane accurate maps by solving a… 
2014
2014
Reversible Jump Markov Chain Monte Carlo: Some Theory and Applications
The history of MCMC, theories of Bayesian thinking and model choice, the AcceptReject-algorithm, Markov chains, the Metropolis… 
2010
2010
DETECTING PIECEWISEL INEAR NETWORKSUSING REVERSIBLE JUMP MARKOV CHAIN MONTE CARLO
This work proposes a piecewise linear network model to appro ximate structures observed in an image. An energy function is used… 
Highly Cited
2007
Highly Cited
2007
Population-Based Reversible Jump Markov Chain Monte Carlo
We present an extension of population-based Markov chain Monte Carlo to the transdimensional case. A major challenge is that of… 
Highly Cited
2005
Highly Cited
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… 
2004
2004
Reversible jump Markov chain Monte Carlo for brain activation detection
A new signal-detection approach for detecting brain activations from PET or fMRI images in a two-state ("on-off") neuroimaging… 
Highly Cited
2003
Highly Cited
2003
Reversible jump, birth‐and‐death and more general continuous time Markov chain Monte Carlo samplers
Summary. Reversible jump methods are the most commonly used Markov chain Monte Carlo tool for exploring variable dimension… 
2003
2003
Efficient construction of reversible jump Markov chain Monte Carlo proposal distributions - Discussion
The major implementational problem for reversible jump Markov chain Monte Carlo methods is that there is commonly no natural way… 
Highly Cited
2001
Highly Cited
2001
Minimum-Entropy Data Partitioning Using Reversible Jump Markov Chain Monte Carlo
Problems in data analysis often require the unsupervised partitioning of a data set into classes. Several methods exist for such… 
Highly Cited
1998
Highly Cited
1998
BAYESIAN ANALYSIS OF QUANTITATIVE TRAIT LOCUS DATA USING REVERSIBLE JUMP MARKOV CHAIN MONTE CARLO
The advent of molecular markers has created a great potential for the understanding of quantitative inheritance in plants as well… 
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