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

It is one of the first comprehensive models that combine statistical decision theory in form of Bayesian analysis with a real options framework for projects exposed to different sources of uncertainty. Statistical Decision Theory and Bayesian Analysis by J.O.Berger. Berger: Statistical Decision Theory and Bayesian Analysis (Springer, New York, 1985) 2nd ed. Last Updated 3 December 2012, 7:24 AM EST. Introduction to Statistical Decision Theory by Pratt/Raiffa/Schlaifer. Smith: Bayesian Theory (Wiley, New York, 1994). Couldn't really get into it at first reading, but will retry b/c recommendation by Jaynes. 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. What's the difference between machine learning, deep learning, big data, statistics, decision & risk analysis, probability, fuzzy logic, and all the rest? Statistical Decision Theory and Bayesian Analysis (Springer Series. First, Jim has contributed and is contributing immensely to statistical science from many respects, first and foremost in grounding Bayesian analysis within decision theory. Indeed, behaviour in the known and knowable space builds on scientific knowledge, the archetypal example of combined explicit knowledge, that is, scientific models and theories. Statistical Power Analysis In Research. David Snowden's Cynefin framework, introduced to articulate discussions of sense-making, knowledge management and organisational learning, has much to offer discussion of statistical inference and decision analysis. None, except for terminology, . I explore its value, particularly in its ..