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

2003引用 4708
Bayesian Methods and Mixture ModelsBayesian Modeling and Causal InferenceStatistical Methods and Bayesian Inference
Statistical Methods and Bayesian InferenceBayesian Methods and Mixture ModelsBayesian Modeling and Causal Inference
相关技术:Statistical Methods and Bayesian InferenceBayesian Methods and Mixture ModelsBayesian Modeling and Causal Inference
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摘要

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.

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Martyn Plummer

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Statistical Methods and Bayesian InferenceBayesian Methods and Mixture ModelsBayesian Modeling and Causal Inference

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