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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Bayesian inference in marketing ： ウィキペディア英語版 Bayesian inference in marketing In marketing, Bayesian inference allows for decision making and market research evaluation under uncertainty and with limited data. ==Introduction== Bayes’ theorem is fundamental to Bayesian inference. It is a subset of statistics, providing a mathematical framework for forming inferences through the concept of probability, in which evidence about the true state of the world is expressed in terms of degrees of belief through subjectively assessed numerical probabilities. Such a probability is known as a Bayesian probability. The fundamental ideas and concepts behind Bayes’ theorem, and its use within Bayesian inference, have been developed and added to over the past centuries by Thomas Bayes, Richard Price and Pierre Simon Laplace as well as numerous other mathematicians, statisticians and scientists.〔McGrayne, S. B. (2011). ''The Theory that Would Not Die'', New Haven: Yale University Press.〕 Bayesian inference has experienced spikes in popularity as it has been seen as vague and controversial by rival frequentist statisticians.〔Green, P. E. and Frank, R. E. (1966). “Bayesian Statistics and Marketing Research”, Journal of the Royal Statistical Society, Series C 15 (3): 173-190. 〕 In the past few decades Bayesian inference has become widespread in many scientific and social science fields such as marketing. Bayesian inference allows for decision making and market research evaluation under uncertainty and limited data.〔Olshausen B. A. (2004) “Bayesian Probability Theory” http://redwood.berkeley.edu/bruno/npb163/bayes.pdf〕 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Bayesian inference in marketing」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.