Adaptive Markov chain Monte Carlo algorithms for Bayesian inference: recent advances and comparative study

Structure and Infrastructure Engineering ◽

10.1080/15732479.2019.1628077 ◽

2019 ◽

Vol 15 (11) ◽

pp. 1548-1565 ◽

Author(s):

Seung-Seop Jin ◽

Heekun Ju ◽

Hyung-Jo Jung

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

Comparative Study ◽

Monte Carlo Algorithms ◽

Recent Advances

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Markov Chain Monte Carlo Algorithms in Bayesian Inference

Bayesian Modeling Using WinBUGS ◽

10.1002/9780470434567.ch2 ◽

2009 ◽

pp. 31-82 ◽

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

Monte Carlo Algorithms

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Limitations of Markov chain Monte Carlo algorithms for Bayesian inference of phylogeny

The Annals of Applied Probability ◽

10.1214/105051600000000538 ◽

2006 ◽

Vol 16 (4) ◽

pp. 2215-2234 ◽

Author(s):

Elchanan Mossel ◽

Eric Vigoda

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

Monte Carlo Algorithms

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Efficiency of Markov chain Monte Carlo algorithms for Bayesian inference in random regression models

10.31274/rtd-180813-13617 ◽

2000 ◽

Author(s):

Ho Huei Liu

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

Regression Models ◽

Random Regression ◽

Monte Carlo Algorithms

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Automated Sensitivity Analysis for Bayesian Inference via Markov Chain Monte Carlo: Applications to Gibbs Sampling

SSRN Electronic Journal ◽

10.2139/ssrn.2984054 ◽

2018 ◽

Author(s):

Liana Jacobi ◽

Mark Joshi ◽

Dan Zhu

Keyword(s):

Sensitivity Analysis ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

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Markov Chain Monte Carlo: stochastic simulation for Bayesian inference (2nd edn). Dani Gamerman and Hedibert F. Lopes, Chapman & Hall/CRC, Boca Raton, FL, 2006. No. of pages: xvii +323. Price: $69.95. ISBN10: 1‐58488‐587‐4, ISBN13: 978‐1‐58488‐587‐0

Statistics in Medicine ◽

10.1002/sim.3240 ◽

2008 ◽

Vol 27 (16) ◽

pp. 3213-3214

Author(s):

Gareth Peters

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

Stochastic Simulation

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

10.1117/12.162042 ◽

1993 ◽

Author(s):

Maurits J. Malfait ◽

Dirk Roose ◽

Dirk Vandermeulen

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Algorithms

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Bayesian inference of preferential seepage path by gradient-based Markov Chain Monte Carlo

Japanese Geotechnical Society Special Publication ◽

10.3208/jgssp.v08.j44 ◽

2020 ◽

Vol 8 (3) ◽

pp. 59-63

Author(s):

Kazunori Fujisawa ◽

Michael Koch ◽

Akira Murakami

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

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Markov Chain Monte Carlo Algorithms

Encyclopedia of Social Network Analysis and Mining ◽

10.1007/978-1-4939-7131-2_100631 ◽

2018 ◽

pp. 1247-1247

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Algorithms

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Markov chain Monte Carlo algorithms

Proceedings of 1994 Workshop on Information Theory and Statistics ◽

10.1109/wits.1994.513879 ◽

2002 ◽

Author(s):

J.S. Rosenthal

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Algorithms

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Bayesian inference along Markov Chain Monte Carlo approach for PWR core loading pattern optimization

Annals of Nuclear Energy ◽

10.1016/j.anucene.2012.07.012 ◽

2012 ◽

Vol 50 ◽

pp. 150-157 ◽

Author(s):

A. Haghighattalab ◽

A. Minuchehr ◽

A. Zolfaghari ◽

F. Khoshahval

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

Monte Carlo Approach ◽

Loading Pattern

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