## Bayesian statistics 5: proceedings of the fifth Valencia international meeting, June 5-9, 1994, Volume 5The proceedings of the Valencia International Meeting on Bayesian Statistics (held every four years) provide an overview of this important and highly topical area in theoretical and applied statistics. This fifth Proceedings reflects a growing emphasis on computational issues concerned with making Bayesian methods routinely available to applied practitioners both statisticians and specialists in other subject-matter, whose work depends on careful quantification of uncertainties. This book contains several invited papers by leading authorities. |

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### Contents

Bayesian Questions and Answers in Queues | 3 |

The Intrinsic Bayes Factor for Linear Models | 25 |

A Thor A Cirrincione C Edgerton S Muss H Marks J | 45 |

Copyright | |

40 other sections not shown

### Common terms and phrases

A. F. M. Smith A. P. Dawid adriamycin algorithm applications approximation assess assume assumption asymptotic Bayes estimate Bayes factor Bayesian analysis Bayesian inference Bayesian Statistics beliefs calculations CALGB choice coefficients components computational conditional distribution conjugate prior consider convergence correlation corresponding covariance decision defined denote density estimation derived diagnostics Dirichlet process discussion equation evaluate example expected exponential Figure frequentist function Gibbs sampler given graph hierarchical model histogram history matching hypothesis independent influence diagram intervals iterations J. M. Bernardo J. O. Berger likelihood likelihood function linear models marginal Markov chain matrix MCMC mean measure methods mixture Monte Carlo multivariate node nonparametric observations obtained paper parameters pixel posterior density posterior distribution posterior probability predictive distribution prior distribution problem queue random regression scale Section selection simulation space specification standard structure Table theorem theory uncertainty University Press values variables variance vector