The BUGS Book: A Practical Introduction to Bayesian Analysis

Abstract

Introduction: Probability and ParametersProbabilityProbability distributionsCalculating properties of probability distributionsMonte Carlo integrationMonte Carlo Simulations Using BUGSIntroduction to BUGSDoodleBUGSUsing BUGS to simulate from distributionsTransformations of random variablesComplex calculations using Monte CarloMultivariate Monte Carlo analysisPredictions with unknown parametersIntroduction to Bayesian InferenceBayesian learningPosterior predictive distributionsConjugate Bayesian inferenceInference about a discrete parameterCombinations of conjugate analysesBayesian and classica

Keywords

Prior probabilityMarkov chain Monte CarloBayesian linear regressionBayesian inferenceGibbs samplingBayesian probabilityMathematicsBayesian hierarchical modelingBayesian multivariate linear regressionComputer scienceStatisticsLinear regression

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Publication Info

Year: 2012
Type: book
Citations: 545
Access: Closed

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APA Style

                            
                                    David J. Lunn, 
                                
                                    Christopher Jackson, 
                                
                                    Nicky Best
                                
                                et al.
                            
                            (2012). 
                            The BUGS Book: A Practical Introduction to Bayesian Analysis. 
                            
                            .