Statistical decision theory and bayesian analysis. James O. Berger
Statistical.decision.theory.and.bayesian.analysis.pdf
ISBN: 0387960988,9780387960982 | 316 pages | 8 Mb
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Statistical decision theory and bayesian analysis James O. Berger
Publisher: Springer
This discussion also reminds me of some statistical debates, where many statisticians have argued the need for a decision-theoretic approach to analysis. Van der Linde, “Bayesian Measures of Model Complexity and Fit,” J. Statistical decision theory and bayesian analysis book download. Download Statistical decision theory and bayesian analysis. For an overview of decision theory from this literature (Pearl 2000, ch. Statistical decision theory and Bayesian analysis. The basics of probability theory; 10.2. Berger, Statistical Decision Theory and Bayesian Analysis, second ed. Note that those from the field of statistics who work on decision theory tend to talk about a “loss function,” which is simply an inverse utility function. Bayes theorem for updating probabilities; 10.3. 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. Now we return to an analysis of decision scenarios, armed with EDT and the counterfactual formulation of CDT.
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