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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 Inverse-Wishart distribution ： ウィキペディア英語版 Inverse-Wishart distribution }}\Gamma_p(\frac)} \left|\mathbf\right|^}e^\operatorname(\mathbf^)} *$\backslash Gamma\_p$ is the multivariate gamma function *$\backslash mathrm$ is the trace function | cdf =| mean = $\backslash frac$For $\backslash nu\; >\; p\; +\; 1$| median =| mode = $\backslash frac$| variance =see below| skewness =| kurtosis =| entropy =| mgf =| char =| }} In statistics, the inverse Wishart distribution, also called the inverted Wishart distribution, is a probability distribution defined on real-valued positive-definite matrices. In Bayesian statistics it is used as the conjugate prior for the covariance matrix of a multivariate normal distribution. We say $\backslash mathbf$ follows an inverse Wishart distribution, denoted as $\backslash mathbf\backslash sim\; \backslash mathcal^(,\backslash nu)$, if its inverse $\backslash mathbf^$ has a Wishart distribution $\backslash mathcal(^,\; \backslash nu)$. Important identities have been derived for Inverse-Wishart distribution.〔 ==Density== The probability density function of the inverse Wishart is: :$$ \frac}}}\Gamma_p(\frac)} \left|\mathbf\right|^}e^\operatorname(\mathbf^)} where $\backslash mathbf$ and $$ are $p\backslash times\; p$ positive definite matrices, and Γ''p''(·) is the multivariate gamma function. 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「Inverse-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.