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

Last Updated 3 December 2012, 7:24 AM EST. The basics of probability theory; 10.2. For an overview of decision theory from this literature (Pearl 2000, ch. None, except for terminology, . What's the difference between machine learning, deep learning, big data, statistics, decision & risk analysis, probability, fuzzy logic, and all the rest? Now we return to an analysis of decision scenarios, armed with EDT and the counterfactual formulation of CDT. Numerical Analysis for Statisticians. 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. Smith: Bayesian Theory (Wiley, New York, 1994). Berger: Statistical Decision Theory and Bayesian Analysis (Springer, New York, 1985) 2nd ed. Statistical Decision Theory and Bayesian Analysis. Another name for probability theory, with hat tip to the God-fearing Reverend Thomas Bayes who earned naming rights with his Eighteenth century mathematical work.