Proceedings of the Section on Bayesian Statistical Science |
Contents
Bayesian Analysis and Public and Private Policy Making | 1 |
Bayesian Hierarchical Models | 5 |
Structured Markov Chain Monte Carlo | 11 |
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 excess returns Figure filter finite frequentist Gaussian 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 multivariate nodes nonparametric normal distribution nuisance parameters observed obtained optimal performance portfolio posterior distribution posterior mean posterior probability predictive predictor prior distribution problem proposed Raftery random effects regression reversible jump risk Section selection simulation space spatial specified standard stochastic Table Theorem tion univariate update utility values variables variance components vector weight Y₁ zero