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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 Regular conditional probability ： ウィキペディア英語版 Regular conditional probability Regular conditional probability is a concept that has developed to overcome certain difficulties in formally defining conditional probabilities for continuous probability distributions. It is defined as an alternative probability measure conditioned on a particular value of a random variable. ==Motivation== Normally we define the conditional probability of an event ''A'' given an event ''B'' as: :$P(A|B)=\backslash frac.$ The difficulty with this arises when the event ''B'' is too small to have a non-zero probability. For example, suppose we have a random variable ''X'' with a uniform distribution on $(),$ and ''B'' is the event that $X=2/3.$ Clearly the probability of ''B'' in this case is $P(B)=0,$ but nonetheless we would still like to assign meaning to a conditional probability such as $P(A|X=2/3).$ To do so rigorously requires the definition of a regular conditional probability. 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「Regular conditional probability」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.