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Published in 2017 at "Acta Physica Polonica A"
DOI: 10.12693/aphyspola.132.1112
Abstract: Markov chain Monte Carlo methods (MCMC) are iterative algorithms that are used in many Bayesian simulation studies, where the inference cannot be easily obtained directly through the defined model. Reversible jump MCMC methods belong to…
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Keywords:
sampling inference;
gaussian graphical;
inference copula;
model ... See more keywords