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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… 
Review
2014
Review
2014
Estimating breeding bird survey trends and annual indices for Canada: how do the new hierarchical Bayesian estimates differ from previous estimates?
Canadian data from the North American Breeding Bird Survey (BBS) provide information on the population status and trends for over… 
2011
2011
Reliability-based initial pavement performance deterioration modelling
This paper presents an approach for incorporating reliability on initial performance prediction models developed from as little… 
2011
2011
A Hierarchical Bayesian Model of Crowdsourced Relevance Coding
We apply a generative probabilistic model of noisy crowdsourced coding to overlapping relevance judgments for documents in… 
2007
2007
Bayesian and Frequentist Approaches to Hedonic Modeling in a Geo-Statistical Framework
We compare Least Squares, Maximum Likelihood and Bayesian approaches to estimation in a Hedonic context. The approaches are… 
2006
2006
Model Updating Using Bayesian Estimation
Variability in real structures, which could arise from manufacturing processes, and the modelling assumptions and limitations… 
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… 
2002
2002
Network Tomography Using Passive End-to-End Measurements
Network tomography refers to the inference of characteristics of internal links in a network using end-to-end measurements. The… 
1997
1997
BUGS 0 . 6 Bayesian inference Using Gibbs Sampling ( Addendum to Manual )
This Addendum speciies additional features of BUGS 0.6, and should beread in conjunction with the current manual for BUGS 0.5… 
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