MultiBUGS: A Parallel Implementation of the BUGS Modeling Framework for Faster Bayesian Inference

MultiBUGS: A Parallel Implementation of the BUGS Modeling Framework for Faster Bayesian Inference

MultiBUGS is a new version of the general-purpose Bayesian modeling software BUGS that implements a generic algorithm for parallelizing Markov chain Monte Carlo (MCMC) algorithms to speed up posterior inference of Bayesian models. The algorithm parallelizes evaluation of the product-form likelihoods...

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Bibliographic Details
Main Authors: Robert J. B. Goudie, Rebecca M. Turner, Daniela De Angelis, Andrew Thomas
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2020-10-01
Series:Journal of Statistical Software
Subjects:
bugs
parallel computing
markov chain monte carlo
gibbs sampling
bayesian analysis
hierarchical models
directed acyclic graph
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/3268

Internet

https://www.jstatsoft.org/index.php/jss/article/view/3268

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