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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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Papers overview

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2019
2019
We present a discrete reversible jump Markov Chain Monte Carlo (rjMCMC) algorithm to build lane accurate maps by solving a… 
2014
2014
The history of MCMC, theories of Bayesian thinking and model choice, the AcceptReject-algorithm, Markov chains, the Metropolis… 
2010
2010
This work proposes a piecewise linear network model to appro ximate structures observed in an image. An energy function is used… 
2010
2010
Three-dimensional building models are used in a variety of applications. These can be found in fields such as tourism, city… 
2009
2009
In this work, the reversible-jump Markov chain Monte Carlo technique is applied for identifying the parameters governing… 
2007
2007
We present an application of reversible jump Markov chain Monte Carlo sampling from the field of neurophysiology where we seek to… 
2007
2007
Computational identification of missing enzymes plays a significant role in reconstruc- tion of metabolic network. For a… 
1999
1999
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
The advent of molecular markers has created a great potential for the understanding of quantitative inheritance in plants as well… 
1998
1998
Markov chain Monte Carlo (MCMC) samplers have been a very powerful methodology for estimating signal parameters. With the…