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

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. The use of Bayesian probabilities as the basis of Bayesian inference has been supported by several arguments, such as the Cox axioms, the Dutch book argument, arguments based on decision theory and de Finetti's theorem. I explore its value, particularly in its .. 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. Introduction to Statistical Decision Theory by Pratt/Raiffa/Schlaifer. In the objectivist stream, the statistical analysis depends on only the model assumed and the data analysed. Couldn't really get into it at first reading, but will retry b/c recommendation by Jaynes. In contrast, "subjectivist" statisticians deny the Justification of Bayesian probabilities. Statistical Decision Theory and Bayesian Analysis by J.O.Berger. No subjective decisions need to be involved.