Energy based Markov Chain Monte Carlo algorithms for Bayesian model selection

2013 ◽  
Vol 133 (5) ◽  
pp. 3575-3575
Author(s):  
Tomislav Jasa ◽  
Jonathan Botts ◽  
Xiang Ning
Keyword(s):  
Monte Carlo ◽  
Markov Chain ◽  
Markov Chain Monte Carlo ◽  
Model Selection ◽  
Bayesian Model ◽  
Bayesian Model Selection ◽  
Monte Carlo Algorithms

scholarly journals Energy based Markov Chain Monte Carlo algorithms for Bayesian model selection

2013 ◽  
Author(s):  
Tomislav Jasa ◽  
Jonathan Botts ◽  
Ning Xiang
Keyword(s):  
Monte Carlo ◽  
Markov Chain ◽  
Markov Chain Monte Carlo ◽  
Model Selection ◽  
Bayesian Model ◽  
Bayesian Model Selection ◽  
Monte Carlo Algorithms

scholarly journals Reversible Jump Markov Chain Monte Carlo Strategies for Bayesian Model Selection in Autoregressive Processes

2004 ◽  
Vol 25 (6) ◽  
pp. 785-809 ◽  
Author(s):  
J. Vermaak ◽  
C. Andrieu ◽  
A. Doucet ◽  
S. J. Godsill
Keyword(s):  
Monte Carlo ◽  
Markov Chain ◽  
Markov Chain Monte Carlo ◽  
Model Selection ◽  
Bayesian Model ◽  
Bayesian Model Selection ◽  
Reversible Jump ◽  
Autoregressive Processes

Convergence measure and some parallel aspects of Markov-chain Monte Carlo algorithms

1993 ◽  
Author(s):  
Maurits J. Malfait ◽  
Dirk Roose ◽  
Dirk Vandermeulen
Keyword(s):  
Monte Carlo ◽  
Markov Chain ◽  
Markov Chain Monte Carlo ◽  
Monte Carlo Algorithms

Markov chain Monte Carlo-based Bayesian model updating of a sailboat-shaped building using a parallel technique

2019 ◽  
Vol 193 ◽  
pp. 12-27 ◽  
Author(s):  
Heung-Fai Lam ◽  
Jun Hu ◽  
Feng-Liang Zhang ◽  
Yan-Chun Ni
Keyword(s):  
Monte Carlo ◽  
Markov Chain ◽  
Markov Chain Monte Carlo ◽  
Bayesian Model ◽  
Model Updating ◽  
Parallel Technique
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