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About
"A Bayesian "posterior distribution" or "predictive distribution" summarizes everything you need to know about an unknown parameter, or future observations. This unique book shows how to use Bayesian statistical techniques in a sound and practically relevant manner. It will guide the reader on inferring scientific, medical, and social conclusions from numerical data. The authors explain the subtle assumptions needed for Bayesian methodology and show how to use them to obtain good-quality conclusions. The methods also perform remarkably well in terms of computer-simulated frequency…
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Editions
1 edition- Other · English · 1999Cambridge University Press · 333 pages · 9780521594172
Bayesian statistical decision theoryStatistique bayesiennePrise de decision (statistique)BAYES THEOREMBayes-VerfahrenBesliskundeMethode van BayesDECISIONS
