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Statistical decision theory and bayesian analysis James O. Berger
Publisher: Springer

Statistical decision theory and Bayesian analysis. Statistical Decision Theory and Bayesian Analysis. Introduction to Statistical Decision Theory by Pratt/Raiffa/Schlaifer. Statistical Decision Theory and Bayesian Analysis by J.O.Berger. Download Statistical decision theory and bayesian analysis. Numerical Analysis for Statisticians. This discussion also reminds me of some statistical debates, where many statisticians have argued the need for a decision-theoretic approach to analysis. Statistical decision theory and bayesian analysis book download. First, Jim has contributed and is contributing immensely to statistical science from many respects, first and foremost in grounding Bayesian analysis within decision theory. In a full Bayesian data analysis (with spatial data or not), a loss function should be specified that relates to the decision made from the results of the analysis – the loss function should capture the “consequences” of making a given decision. Couldn't really get into it at first reading, but will retry b/c recommendation by Jaynes. The value of the loss function itself is a random quantity because it depends on the outcome of a random variable X.