Bayesian Statistics 5: Proceedings of the Fifth Valencia International Meeting, June 5-9, 1994, Volume 5J. M. Bernardo The Valencia International Meetings on Bayesian Statistics, held every four years, provide the forum for researchers to come together and discuss frontier developments in the field. The resulting Proceedings provide a definitive, up-to-date overview encompassing a wide range of theoretical and applied research. This fifth Proceedings is no exception. In particular, it reflects a growing emphasis on computational issues, concerned with making Bayesian methods routinely available to applied practitioners, both statisticians and speciailists in other subject-matter, whose work depends on careful quantification of uncertainties. This book contains several invited papers by leading authorities. |
Contents
Bayes Linear Strate | 69 |
Predictive CrossValidation of Bayesian MetaAnalyses | 107 |
Bayesian Statistics and the Law | 129 |
Copyright | |
27 other sections not shown
Common terms and phrases
A. P. Dawid algorithm applications approximation assess assume assumption asymptotic Bayes estimate Bayes factor Bayesian analysis Bayesian inference Bayesian Statistics beliefs Biometrika calculations CALGB coefficients components computational conditional distribution conjugate prior consider convergence corresponding covariance Dawid and A. F. M. decision defined denote density estimation derived diagnostics Dirichlet process discussion equation example expected 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 posterior distribution posterior probability predictive distribution prior distribution problem queue random regression Section simulation space specification standard structure Table theorem theory uncertainty University Press values variables variance vector