Bayesian texture segmentation of weed and crop images using reversible jump Markov chain Monte Carlo methods

Journal of the Royal Statistical Society Series C (Applied Statistics) ◽

10.1111/1467-9876.00387 ◽

2003 ◽

Vol 52 (1) ◽

pp. 31-50 ◽

Author(s):

Ian L. Dryden ◽

Mark R. Scarr ◽

Charles C. Taylor

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Methods ◽

Texture Segmentation ◽

Reversible Jump

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Motor unit number estimation using reversible jump Markov chain Monte Carlo methods

Journal of the Royal Statistical Society Series C (Applied Statistics) ◽

10.1111/j.1467-9876.2007.00576.x ◽

2007 ◽

Vol 56 (3) ◽

pp. 235-269 ◽

Author(s):

P. G. Ridall ◽

A. N. Pettitt ◽

N. Friel ◽

P. A. McCombe ◽

R. D. Henderson

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Methods ◽

Reversible Jump ◽

Motor Unit Number Estimation

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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 ◽

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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Bayesian uncertainty quantification for flows in heterogeneous porous media using reversible jump Markov chain Monte Carlo methods

Advances in Water Resources ◽

10.1016/j.advwatres.2009.10.010 ◽

2010 ◽

Vol 33 (3) ◽

pp. 241-256 ◽

Author(s):

A. Mondal ◽

Y. Efendiev ◽

B. Mallick ◽

A. Datta-Gupta

Keyword(s):

Porous Media ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Uncertainty Quantification ◽

Monte Carlo Methods ◽

Heterogeneous Porous Media ◽

Reversible Jump

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Bayesian volumetric calibration: an application of reversible jump Markov chain Monte Carlo methods

Journal of the Royal Statistical Society Series C (Applied Statistics) ◽

10.1111/1467-9876.00212 ◽

2000 ◽

Vol 49 (4) ◽

pp. 563-575

Author(s):

Robin Henderson ◽

Tony Morton‐Jones ◽

Paul McKnespiey

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Methods ◽

Reversible Jump

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Population-based reversible jump Markov chain Monte Carlo methods for Bayesian variable selection and evaluation under cost limit restrictions

Journal of the Royal Statistical Society Series C (Applied Statistics) ◽

10.1111/j.1467-9876.2008.00658.x ◽

2009 ◽

Vol 58 (3) ◽

pp. 383-403

Author(s):

D. Fouskakis ◽

I. Ntzoufras ◽

D. Draper

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Variable Selection ◽

Monte Carlo Methods ◽

Population Based ◽

Bayesian Variable Selection ◽

Reversible Jump ◽

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History Matching Channelized Reservoirs Using Reversible Jump Markov Chain Monte Carlo Methods

10.2118/129685-ms ◽

2010 ◽

Author(s):

Jiang Xie ◽

Anirban Mondal ◽

Yalchin Efendiev ◽

Bani Mallick ◽

Akhil Datta-Gupta

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Methods ◽

History Matching ◽

Reversible Jump ◽

Channelized Reservoirs

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Markov Chain Monte Carlo Methods for Reserves Estimation

10.2523/10065-ms ◽

2005 ◽

Author(s):

Andrew W. Wadsley

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Methods

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Statistical Inference for Coherent Systems from Partial Information and Markov Chain Monte Carlo Methods.

10.21236/ada305676 ◽

1996 ◽

Author(s):

Hani Doss

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Statistical Inference ◽

Monte Carlo Methods ◽

Partial Information ◽

Coherent Systems

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An Aspect Oriented Framework to Applying Markov Chain Monte Carlo Methods with Dynamic Models

TMS/DEVS Symposium on Theory of Modeling & Simulation (TMS/DEVS 2016) ◽

10.22360/springsim.2016.tmsdevs.040 ◽

2016 ◽

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Methods ◽

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Estimation and uncertainty analysis of the CO2 storage volume in the Sleipner field via 4D reversible-jump Markov-chain Monte Carlo

Journal of Petroleum Science and Engineering ◽

10.1016/j.petrol.2020.108333 ◽

2021 ◽

pp. 108333

Author(s):

Yongchae Cho ◽

Hyunggu Jun

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Uncertainty Analysis ◽

Co2 Storage ◽

Reversible Jump ◽

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