Improving the graphical lasso estimation for the precision matrix through roots ot the sample convariance matrix
Working Papers
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Statistics and Econometrics Series
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gaussian graphical models; gene expression; high-dimensionality; inverse covariance matrix; penalized estimation; portfolio selection; root of a matrix