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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 Normal-Wishart distribution ： ウィキペディア英語版 Normal-Wishart distribution In probability theory and statistics, the normal-Wishart distribution (or Gaussian-Wishart distribution) is a multivariate four-parameter family of continuous probability distributions. It is the conjugate prior of a multivariate normal distribution with unknown mean and precision matrix (the inverse of the covariance matrix).〔Bishop, Christopher M. (2006). ''Pattern Recognition and Machine Learning.'' Springer Science+Business Media. Page 690.〕 ==Definition== Suppose :$\backslash boldsymbol\backslash mu|\backslash boldsymbol\backslash mu\_0,\backslash lambda,\backslash boldsymbol\backslash Lambda\; \backslash sim\; \backslash mathcal(\backslash boldsymbol\backslash mu|\backslash boldsymbol\backslash mu\_0,(\backslash lambda\backslash boldsymbol\backslash Lambda)^)$ has a multivariate normal distribution with mean $\backslash boldsymbol\backslash mu\_0$ and covariance matrix $(\backslash lambda\backslash boldsymbol\backslash Lambda)^$, where :$\backslash boldsymbol\backslash Lambda|\backslash mathbf,\backslash nu\; \backslash sim\; \backslash mathcal(\backslash boldsymbol\backslash Lambda|\backslash mathbf,\backslash nu)$ has a Wishart distribution. Then $(\backslash boldsymbol\backslash mu,\backslash boldsymbol\backslash Lambda)$ has a normal-Wishart distribution, denoted as :$(\backslash boldsymbol\backslash mu,\backslash boldsymbol\backslash Lambda)\; \backslash sim\; \backslash mathrm(\backslash boldsymbol\backslash mu\_0,\backslash lambda,\backslash mathbf,\backslash nu)\; .$ 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「Normal-Wishart distribution」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.