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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… 
2010
2010
Rekonstruktion von Fassadenstrukturen mittels formaler Grammatiken und Reversible Jump Markov Chain Monte Carlo Sampling
Three-dimensional building models are used in a variety of applications. These can be found in fields such as tourism, city… 
2009
2009
Parameter Identification in Degradation Modeling by Reversible-Jump Markov Chain Monte Carlo
In this work, the reversible-jump Markov chain Monte Carlo technique is applied for identifying the parameters governing… 
2007
2007
Motor unit number estimation using reversible jump Markov chain Monte Carlo (with discussion).
We present an application of reversible jump Markov chain Monte Carlo sampling from the field of neurophysiology where we seek to… 
2007
2007
Missing Enzyme Identification Using Reversible-Jump Markov-Chain-Monte-Carlo Learning Approach
Computational identification of missing enzymes plays a significant role in reconstruc- tion of metabolic network. For a… 
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… 
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… 
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… 
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