Automated Parameter Blocking for Efficient Markov Chain Monte Carlo Sampling

Daniel Turek; Perry de Valpine; Christopher J. Paciorek; Clifford Anderson-Bergman

doi:10.1214/16-ba1008

Automated Parameter Blocking for Efficient Markov Chain Monte Carlo Sampling

Bayesian Analysis ◽

10.1214/16-ba1008 ◽

2017 ◽

Vol 12 (2) ◽

pp. 465-490 ◽

Cited By ~ 12

Author(s):

Daniel Turek ◽

Perry de Valpine ◽

Christopher J. Paciorek ◽

Clifford Anderson-Bergman

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Sampling

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Bayes or Bootstrap? A Simulation Study Comparing the Performance of Bayesian Markov Chain Monte Carlo Sampling and Bootstrapping in Assessing Phylogenetic Confidence

Molecular Biology and Evolution ◽

10.1093/molbev/msg028 ◽

2003 ◽

Vol 20 (2) ◽

pp. 255-266 ◽

Cited By ~ 612

Author(s):

M. E. Alfaro

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Simulation Study ◽

Monte Carlo Sampling

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Enhanced Mixture Population Monte Carlo Via Stochastic Optimization and Markov Chain Monte Carlo Sampling

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp40776.2020.9053410 ◽

2020 ◽

Author(s):

Yousef El-Laham ◽

Petar M. Djuric ◽

Monica F. Bugallo

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Stochastic Optimization ◽

Monte Carlo Sampling ◽

Population Monte Carlo

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Markov Chain Monte Carlo Sampling

Bayesian Biostatistics ◽

10.1002/9781119942412.ch6 ◽

2012 ◽

pp. 139-174

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Sampling

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Potential-Decomposition Strategy in Markov Chain Monte Carlo Sampling Algorithms

Communications in Theoretical Physics ◽

10.1088/0253-6102/54/5/15 ◽

2010 ◽

Vol 54 (5) ◽

pp. 854-856

Author(s):

Dan-Hua Shangguan ◽

Jing-Dong Bao

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Sampling ◽

Sampling Algorithms

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Correction: Bayesian Genome Assembly and Assessment by Markov Chain Monte Carlo Sampling

PLoS ONE ◽

10.1371/journal.pone.0104331 ◽

2014 ◽

Vol 9 (7) ◽

pp. e104331

Author(s):

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Genome Assembly ◽

Monte Carlo Sampling

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A simple introduction to Markov Chain Monte–Carlo sampling

Psychonomic Bulletin & Review ◽

10.3758/s13423-016-1015-8 ◽

2016 ◽

Vol 25 (1) ◽

pp. 143-154 ◽

Cited By ~ 81

Author(s):

Don van Ravenzwaaij ◽

Pete Cassey ◽

Scott D. Brown

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Sampling

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Markov chain Monte Carlo sampling of gene genealogies conditional on unphased SNP genotype data

Statistical Applications in Genetics and Molecular Biology ◽

10.1515/sagmb-2012-0011 ◽

2013 ◽

Vol 12 (5) ◽

Cited By ~ 1

Author(s):

Kelly M. Burkett ◽

Brad McNeney ◽

Jinko Graham

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Sampling ◽

Genotype Data

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Ensemble Bayesian model averaging using Markov Chain Monte Carlo sampling

Environmental Fluid Mechanics ◽

10.1007/s10652-008-9106-3 ◽

2008 ◽

Vol 8 (5-6) ◽

pp. 579-595 ◽

Cited By ~ 73

Author(s):

Jasper A. Vrugt ◽

Cees G. H. Diks ◽

Martyn P. Clark

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Model ◽

Bayesian Model Averaging ◽

Model Averaging ◽

Monte Carlo Sampling

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Novel probabilistic approach to assessing barge–bridge collision damage based on vibration measurements through transitional Markov chain Monte Carlo sampling

Journal of Civil Structural Health Monitoring ◽

10.1007/s13349-013-0063-2 ◽

2013 ◽

Vol 4 (2) ◽

pp. 119-131 ◽

Cited By ~ 5

Author(s):

Wei Zheng ◽

Yung-Tsang Chen

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Probabilistic Approach ◽

Monte Carlo Sampling ◽

Vibration Measurements

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Bayesian inversion of seismic and electromagnetic data for marine gas reservoir characterization using multi-chain Markov chain Monte Carlo sampling

Journal of Applied Geophysics ◽

10.1016/j.jappgeo.2017.10.004 ◽

2017 ◽

Vol 147 ◽

pp. 68-80 ◽

Cited By ~ 6

Author(s):

Huiying Ren ◽

Jaideep Ray ◽

Zhangshuan Hou ◽

Maoyi Huang ◽

Jie Bao ◽

...

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Reservoir Characterization ◽

Monte Carlo Sampling ◽

Bayesian Inversion ◽

Gas Reservoir ◽

Electromagnetic Data

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