翻訳と辞書 Words near each other ・ Posterior median sulcus ・ Posterior median sulcus of medulla oblongata ・ Posterior median sulcus of spinal cord ・ Posterior meningeal artery ・ Posterior meniscofemoral ligament ・ Posterior nasal apertures ・ Posterior nasal spine ・ Posterior nucleus of hypothalamus ・ Posterior parahippocampal gyrus ・ Posterior parietal cortex ・ Posterior perforated substance ・ Posterior pituitary ・ Posterior pole ・ Posterior polymorphous corneal dystrophy ・ Posterior predictive distribution ・ Posterior probability ・ Posterior proper fasciculus ・ Posterior rami syndrome ・ Posterior ramus of spinal nerve ・ Posterior reversible encephalopathy syndrome ・ Posterior sacrococcygeal ligament ・ Posterior sacroiliac ligament ・ Posterior scrotal arteries ・ Posterior scrotal branches ・ Posterior scrotal nerves ・ Posterior scrotal veins ・ Posterior segment of eyeball ・ Posterior septal branches of sphenopalatine artery ・ Posterior shoulder ・ Posterior spinal artery Dictionary Lists mini英和辞書 mini和英辞書 Webster 1913 Latin-English FOLDOC Wikipedia English ウィキペディア

翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Posterior probability ： ウィキペディア英語版 Posterior probability In Bayesian statistics, the posterior probability of a random event or an uncertain proposition is the conditional probability that is assigned after the relevant evidence or background is taken into account. Similarly, the posterior probability distribution is the probability distribution of an unknown quantity, treated as a random variable, conditional on the evidence obtained from an experiment or survey. "Posterior", in this context, means after taking into account the relevant evidence related to the particular case being examined. ==Definition== The posterior probability is the probability of the parameters $\backslash theta$ given the evidence $X$: $p(\backslash theta|X)$. It contrasts with the likelihood function, which is the probability of the evidence given the parameters: $p(X|\backslash theta)$. The two are related as follows: Let us have a prior belief that the probability distribution function is $p(\backslash theta)$ and observations $x$ with the likelihood $p(x|\backslash theta)$, then the posterior probability is defined as :$p(\backslash theta|x)\; =\; \backslash frac.$ The posterior probability can be written in the memorable form as :$\backslash text\; \backslash propto\; \backslash text\; \backslash times\; \backslash text$. 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「Posterior 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.