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Bayesian inference using Gibbs sampling

Known as: BUGs (statistics), Bugs 
Bayesian inference using Gibbs sampling (BUGs) is a software package for performing Bayesian inference using Markov chain Monte Carlo (based on Gibbs… 
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Related topics

Related topics

8 relations
Bayesian structural time seriesDomain-specific languageGibbs samplingMarkov chain Monte Carlo

Broader (1)

Computational statistics

Papers overview

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2017
2017
Bayesian Inference Using Gibbs Sampling (BUGS) for IRT Models
2015
2015
Production uncertainties modelling by Bayesian inference using Gibbs sampling
Analysis by modelling production throughput is an efficient way to provide information for production decision-making… 
2014
2014
Bayesian Inference Using Gibbs Sampling in Applications and Curricula of Decision Analysis
Applications and curricula of decision analysis currently do not include methods to compute Bayes' rule and obtain posteriors for… 
2014
2014
Relationship Between Hygienic Behavior and Varroa destructor Mites in Colonies Producing Honey or Royal Jelly
Genetic and phenotypic parameters for hygienic behavior, invasion and infestation rates, total and effective reproduction of… 
2011
2011
Assessment and interpretation of bias in 2AFC stimulus comparison through chronometric analysis
Random-walk and diffusion models for two-choice comparison of paired successive or simultaneous stimuli focus on response time… 
2010
2010
Flexible Bayesian Inference of Animal Model Parameters Using BUGS Program
Bayesian inference of animal model parameters via Markov chain Monte Carlo (McMC) methods is a part of a standard toolkit used in… 
2007
2007
Body condition score of Nelore cows and its relationship with size and reproduction traits
The aim of this study was to investigate the relationship of measures of body condition score (ECC) with mature size and… 
2005
2005
Bayesian inference for factor scores
Bayesian inference for the parameters of the factor model follows directly from the likelihood and the prior distributions for… 
2000
2000
SOLAR PARTICLE EVENT DOSES AND DOSE RATES FOR INTERPLANETARY CREWS: PREDICTIONS USING ARTIFICIAL INTELLIGENCE AND BAYESIAN INFERENCE
ABSTRACT For deep space missions, a major concern is the occurrence of large solar particle events (SPE) which can deliverdoses… 
Review
1997
Review
1997
Personal Crunching: A Review of BUGS: Bayesian Inference Using Gibbs Sampling
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