Gibbs Sampling in Inference of Copula Gaussian Graphical Model Adapted to Biological Networks
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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… read more here.
Keywords: sampling inference; gaussian graphical; inference copula; model ... See more keywords