## Proceedings of the Section on Bayesian Statistical Science |

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### Contents

Bayesian Analysis and Public and Private Policy Making | 1 |

Structured Markov Chain Monte Carlo | 11 |

Bayesian Hierarchical Models | 12 |

Copyright | |

7 other sections not shown

### Common terms and phrases

algorithm alternative American Statistical Association application approximation assume asymptotic autoregressive Bayes factor Bayesian analysis Bayesian approach Bayesian inference Bayesian model bootstrap chain Monte Carlo clinical trials cluster coefficients compute conditional distribution consider constraint convergence corresponding covariance defined denote Dirichlet distribution Dirichlet process domain equation error estimates evaluated example Figure filter finite frequentist Gaussian Gaussian curvature genotypes Gibbs sampler given independent inference iterations Journal latent likelihood function linear model 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 pedigree 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 stochastic Table Theorem tion univariate update values variance components vector weight zero