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Bayesian statistics
Bayesian statistics is a subset of the field of statistics in which the evidence about the true state of the world is expressed in terms of degrees of belief or, more specifically, Bayesian probabilities. Such an interpretation is only one of a number of interpretations of probability and there are other statistical techniques that are not based on "degrees of belief". One formulation of the "key ideas of Bayesian statistics" is "that probability is orderly opinion, and that inference from data is nothing other than the revision of such opinion in the light of relevant new information."〔Edwards W, Lindman H, Savage LJ: Bayesian statistical inference for psycho-logical research. Psychological Review, 1963; 70:193-242 (quote: pp 519-520). Cited as per Dennis Fryback's preface in A. O’Hagan, B. Luce: (A primer on Baysian Statistics in Health Economics and Outcomes Research ). 2003. Published by the Bayesian Initiative in Health Economics & Outcomes Research and the Centre for Bayesian Statistics in Health Economics. Accessed June 9, 2015.〕
==Outline==
The general set of statistical techniques can be divided into a number of activities, many of which have special Bayesian versions.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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