Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov models

Daniel W. Heck; Antony M. Overstall; Quentin F. Gronau; Eric-Jan Wagenmakers

doi:10.1007/s11222-018-9828-0

Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov models

Statistics and Computing ◽

10.1007/s11222-018-9828-0 ◽

2018 ◽

Vol 29 (4) ◽

pp. 631-643 ◽

Cited By ~ 3

Author(s):

Daniel W. Heck ◽

Antony M. Overstall ◽

Quentin F. Gronau ◽

Eric-Jan Wagenmakers

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Markov Models ◽

Quantifying Uncertainty

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Detecting Recombination in 4-Taxa DNA Sequence Alignments with Bayesian Hidden Markov Models and Markov Chain Monte Carlo

Molecular Biology and Evolution ◽

10.1093/molbev/msg039 ◽

2003 ◽

Vol 20 (3) ◽

pp. 315-337 ◽

Cited By ~ 36

Author(s):

D. Husmeier

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Hidden Markov Models ◽

Dna Sequence ◽

Markov Models ◽

Hidden Markov ◽

Sequence Alignments

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Markov chain Monte Carlo simulation for Bayesian Hidden Markov Models

10.1063/1.4966059 ◽

2016 ◽

Author(s):

Lay Guat Chan ◽

Adriana Irawati Nur Binti Ibrahim

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov

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EM versus Markov chain Monte Carlo for estimation of hidden Markov models: a computational perspective

Bayesian Analysis ◽

10.1214/08-ba326 ◽

2008 ◽

Vol 3 (4) ◽

pp. 659-688 ◽

Cited By ~ 55

Author(s):

Tobias Rydén

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Computational Perspective

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Bayesian choice among Markov models of ion channels using Markov chain Monte Carlo

Proceedings of The Royal Society A Mathematical Physical and Engineering Sciences ◽

10.1098/rspa.1999.0459 ◽

1999 ◽

Vol 455 (1989) ◽

pp. 3425-3448 ◽

Cited By ~ 14

Author(s):

Matthew E. A. Hodgson ◽

Peter J. Green

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Ion Channels ◽

Markov Models

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REVERSIBLE JUMP MARKOV CHAIN MONTE CARLO METHODS AND SEGMENTATION ALGORITHMS IN HIDDEN MARKOV MODELS

Australian & New Zealand Journal of Statistics ◽

10.1111/j.1467-842x.2010.00571.x ◽

2010 ◽

Vol 52 (2) ◽

pp. 151-166 ◽

Cited By ~ 3

Author(s):

R. Paroli ◽

L. Spezia

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Hidden Markov Models ◽

Monte Carlo Methods ◽

Markov Models ◽

Hidden Markov ◽

Reversible Jump ◽

Segmentation Algorithms

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Efficient Markov chain Monte Carlo sampling for hierarchical hidden Markov models

Environmental and Ecological Statistics ◽

10.1007/s10651-016-0353-z ◽

2016 ◽

Vol 23 (4) ◽

pp. 549-564 ◽

Cited By ~ 16

Author(s):

Daniel Turek ◽

Perry de Valpine ◽

Christopher J. Paciorek

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Monte Carlo Sampling ◽

Hierarchical Hidden Markov Models

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Bayesian inference in hidden Markov models through the reversible jump Markov chain Monte Carlo method

Journal of the Royal Statistical Society Series B (Statistical Methodology) ◽

10.1111/1467-9868.00219 ◽

2000 ◽

Vol 62 (1) ◽

pp. 57-75 ◽

Cited By ~ 128

Author(s):

C. P. Robert ◽

T. Ryden ◽

D. M. Titterington

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Bayesian Inference ◽

Monte Carlo Method ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Reversible Jump

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Model selection for hidden Markov models of ion channel data by reversible jump Markov chain Monte Carlo

Bernoulli ◽

10.3150/bj/1065444810 ◽

2003 ◽

Vol 9 (3) ◽

pp. 373-393 ◽

Cited By ~ 3

Author(s):

Mathisca C.M. De Gunst ◽

Barry Schouten

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Model Selection ◽

Ion Channel ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Reversible Jump ◽

Selection For

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Quantifying Uncertainty in Multivariate Quantile Estimation of Hydrometeorological Extremes via Copula: a Comparison between Bootstrapping and Markov Chain Monte Carlo

International Journal of Climatology ◽

10.1002/joc.7493 ◽

2021 ◽

Author(s):

Pan Yang ◽

Tze Ling Ng

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Quantile Estimation ◽

Multivariate Quantile ◽

Quantifying Uncertainty

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Application of Assisted History Matching Workflow to Shale Gas Well Using EDFM and Neural Network-Markov Chain Monte Carlo Algorithm

Proceedings of the 7th Unconventional Resources Technology Conference ◽

10.15530/urtec-2019-659 ◽

2019 ◽

Cited By ~ 5

Author(s):

Sutthaporn Tripoppoom ◽

Wei Yu ◽

Kamy Sepehrnoori ◽

Jijun Miao

Keyword(s):

Neural Network ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Shale Gas ◽

History Matching ◽

Monte Carlo Algorithm ◽

Gas Well ◽

Assisted History Matching

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