Bayesian Statistics 2: Proceedings of the Second Valencia International Meeting, September 6/10, 1983
J. M. Bernardo
North-Holland, 1985 - Mathematics - 778 pages
Providing a comprehensive overview of recent research in Bayesian Statistics, this book includes contributions from most of the leading experts in the field. It covers a broad range of topics, from foundational philosophy to practical case studies.
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A.F.M. Smith Aitchison Amer applications approximation assessment assume assumption Bayes Bayes factor Bayesian analysis Bayesian approach Bayesian inference Bayesian statistics beliefs binomial calibration coefficients coherence components conditional conjugate prior consider corresponding covariance matrix decision maker decision problem defined denote depend diagnostic discussion Econometrics error estimate evaluation example expected exponential family factor finite forecaster Geisser given important independent integration J.M. Bernardo likelihood function likelihood principle Lindley linear models M.H. DeGroot mathematical maximum entropy measure median methods mixture mode Monte Carlo North-Holland observations obtained opinion optimal outliers paper possible posterior density posterior distribution posterior mean posterior probability predictive distribution prevision principle prior distribution prior information probability distribution procedure Professor random variable reasons regression sample Section simple specification standard structure subjective probability Suppose Theorem theory transformation treatment University utility function vague prior values variance vector weight of evidence well-calibrated