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Graphical lasso
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Graphical lasso : ウィキペディア英語版
Graphical lasso
The graphical lasso is an algorithm to estimate the precision matrix (inverse of covariance matrix) from the observations from multivariate Gaussian distribution.
== Setting ==

Consider observations X_1, X_2, ..., X_n from multivariate Gaussian distribution X \sim N(0, \Sigma). We are interested in estimating the precision matrix \Theta = \Sigma^.
The graphical lasso estimator is the \hat such that:
:
\hat = \underset)
Where S is the sample covariance, and \lambda is the penalizing parameter.〔

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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