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Reversible-jump Markov chain Monte Carlo
Known as:
Transdimensional MCMC
, Reversible jump Markov chain Monte Carlo
, Reversible jump
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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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Related topics
Related topics
6 relations
Broader (1)
Computational statistics
List of numerical analysis topics
Markov chain Monte Carlo
Mathematical model
Pseudo-random number sampling
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Discrete Reversible Jump Markov Chain Monte Carlo Trajectory Clustering
S. Busch
,
C. Brenner
International Conference on Intelligent…
2019
Corpus ID: 208633997
We present a discrete reversible jump Markov Chain Monte Carlo (rjMCMC) algorithm to build lane accurate maps by solving a…
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2014
2014
Reversible Jump Markov Chain Monte Carlo: Some Theory and Applications
H. Lyyjynen
2014
Corpus ID: 56432243
The history of MCMC, theories of Bayesian thinking and model choice, the AcceptReject-algorithm, Markov chains, the Metropolis…
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2010
2010
DETECTING PIECEWISEL INEAR NETWORKSUSING REVERSIBLE JUMP MARKOV CHAIN MONTE CARLO
D. Woodard
2010
Corpus ID: 15771108
This work proposes a piecewise linear network model to appro ximate structures observed in an image. An energy function is used…
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2010
2010
Rekonstruktion von Fassadenstrukturen mittels formaler Grammatiken und Reversible Jump Markov Chain Monte Carlo Sampling
Nora Ripperda
2010
Corpus ID: 44655946
Three-dimensional building models are used in a variety of applications. These can be found in fields such as tourism, city…
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2009
2009
Parameter Identification in Degradation Modeling by Reversible-Jump Markov Chain Monte Carlo
E. Zio
,
A. Zoia
IEEE Transactions on Reliability
2009
Corpus ID: 40526013
In this work, the reversible-jump Markov chain Monte Carlo technique is applied for identifying the parameters governing…
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2007
2007
Motor unit number estimation using reversible jump Markov chain Monte Carlo (with discussion).
Gareth Ridall
,
N. Friel
,
R. Henderson
,
A. Pettit
,
P. Mccombe
2007
Corpus ID: 107473531
We present an application of reversible jump Markov chain Monte Carlo sampling from the field of neurophysiology where we seek to…
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2007
2007
Missing Enzyme Identification Using Reversible-Jump Markov-Chain-Monte-Carlo Learning Approach
B. Geng
,
Xiaobo Zhou
,
Jinmin Zhu
,
Y. Hung
,
Stephen T. C. Wong
2007
Corpus ID: 7245651
Computational identification of missing enzymes plays a significant role in reconstruc- tion of metabolic network. For a…
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1999
1999
On Input Selection with Reversible Jump Markov Chain Monte Carlo Sampling
P. Sykacek
Neural Information Processing Systems
1999
Corpus ID: 5122725
In this paper we will treat input selection for a radial basis function (RBF) like classifier within a Bayesian framework. We…
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Highly Cited
1998
Highly Cited
1998
BAYESIAN ANALYSIS OF QUANTITATIVE TRAIT LOCUS DATA USING REVERSIBLE JUMP MARKOV CHAIN MONTE CARLO
D. Stephens
,
R. Fisch
1998
Corpus ID: 8006300
The advent of molecular markers has created a great potential for the understanding of quantitative inheritance in plants as well…
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1998
1998
Detection and estimation of signals by reversible jump Markov chain Monte Carlo computations
P. Djurić
,
S. Godsill
,
W. Fitzgerald
,
P. Rayner
Proceedings of the IEEE International Conference…
1998
Corpus ID: 17876991
Markov chain Monte Carlo (MCMC) samplers have been a very powerful methodology for estimating signal parameters. With the…
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