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#Com.numericalmethod.suanshu.model.daspremont2008 Classes and Interfaces - 6 results found.
NameDescriptionTypePackageFramework
AhatEstimationEstimates the coefficient of a VAR(1) model by penalized maximum likelihood.Classcom.numericalmethod.suanshu.model.daspremont2008SuanShu
CovarianceEstimationEstimates the covariance matrix by maximum likelihood.Classcom.numericalmethod.suanshu.model.daspremont2008SuanShu
ExtremalGeneralizedEigenvalueByGreedySearch [ min_x frac{x'Ax}{x'Bx} \ extup{s.Classcom.numericalmethod.suanshu.model.daspremont2008SuanShu
ExtremalGeneralizedEigenvalueBySDPSolves the problem described in Section 3.Classcom.numericalmethod.suanshu.model.daspremont2008SuanShu
ExtremalGeneralizedEigenvalueSolverComputes the solution to the problem described in Section 3.Interfacecom.numericalmethod.suanshu.model.daspremont2008SuanShu
IndependentCoVARThis algorithm finds the independent variables based on the covariance matrix.Classcom.numericalmethod.suanshu.model.daspremont2008SuanShu