JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling

Concepts

ComputingBiostatisticsComputer ScienceBayesian BiostatisticsBayesian Data AnalysisStatisticsBayesian ComputationBayesian InferenceBayesian Model BuildingBayesian ModelingBayesian StatisticsMarkov Chain Monte CarloBayesian Graphical ModelsBayesian Markov Chain Monte CarloBayesian NetworksGibbs SamplingGraphical ModelsMarkov Chain Monte Carlo Inference

Abstract

JAGS is a program for Bayesian Graphical modelling which aims for compatibility with Classic BUGS. The program could eventually be developed as an R package. This article explains the motivations for this program, briefly describes the architecture and then discusses some ideas for a vectorized form of the BUGS language.

References

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