Results 291 to 300 of about 146,110 (315)

Markov Chains and Monte Carlo Markov Chains

2013
The theory of Markov chains is rooted in the work of Russian mathematician Andrey Markov, and has an extensive body of literature to establish its mathematical foundations. The availability of computing resources has recently made it possible to use Markov chains to analyze a variety of scientific data, and Monte Carlo Markov chains are now one of the ...
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Markov Chain Robustness.

When a Markov chain models nature or social interactions, it is likely not followed exactly, but only approximately. We therefore introduce several notions of robustness for a Markov chain P. Our standard adversary can dynamically change transition probabilities of P by 1 ± ε, and our strong adversary can completely control each transition ...
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Analysis of a nonreversible Markov chain sampler

Annals of Applied Probability, 2000
, , Radford M Neal
exaly  

Practical Markov Chain Monte Carlo

Statistical Science, 1992
Charles J Geyer
exaly  

Regeneration in Markov Chain Samplers

Journal of the American Statistical Association, 1995
Luke Tierney, Per Mykland
exaly  

Particle Markov Chain Monte Carlo Methods

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2010
Arnaud Doucet, Christophe Andrieu
exaly  

Ripple effect modelling of supplier disruption: integrated Markov chain and dynamic Bayesian network approach

International Journal of Production Research, 2020
Alexandre Dolgui, Dmitry Ivanov, Seyedmohsen Hosseini   +2 more
exaly  

Markov chains

2001
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Image segmentation by data-driven markov chain monte carlo

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
Song-Chun Zhu, Zhuowen Tu
exaly  

CA-Markov Chain Analysis of Seasonal Land Surface Temperature and Land Use Land Cover Change Using Optical Multi-Temporal Satellite Data of Faisalabad, Pakistan

Remote Sensing, 2020
Aqil Tariq, Hong Shu
exaly