Proceedings of the Section on Bayesian Statistical Science |
Contents
Bayesian Analysis and Public and Private Policy Making | 1 |
Structured Markov Chain Monte Carlo | 11 |
Bayesian Hierarchical Models | 12 |
Copyright | |
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Common terms and phrases
a₁ algorithm American Statistical Association application approximation assume asymptotic Bayes factor Bayesian analysis Bayesian approach Bayesian inference Bayesian model Biometrika bivariate bootstrap chain Monte Carlo clinical trials clusters coefficients compute consider constraint convergence covariance defined denote Dirichlet distribution Dirichlet process domain equation error estimates example Figure filter finite frequentist Gaussian genotypes Gibbs sampler given independent inference iterations Journal likelihood function linear model M₁ marginal marginal likelihood Markov chain Markov chain Monte matrix maximum likelihood MCMC measure method mixture model multivariate nodes nonparametric normal distribution nuisance parameters observed obtained portfolio posterior distribution posterior mean posterior probability posterior sample predictive predictor prior distribution problem proposed Raftery random effects regression reversible jump risk Section selection simulation space spatial specified standard Table Theorem tion univariate update values variable variance components vector weight zero