Name | Description | Type | Package | Framework |
AhatEstimation | Estimates the coefficient of a VAR(1) model by penalized maximum likelihood. | Class | com.numericalmethod.suanshu.model.daspremont2008 | SuanShu |
CovarianceEstimation | Estimates the covariance matrix by maximum likelihood. | Class | com.numericalmethod.suanshu.model.daspremont2008 | SuanShu |
ExtremalGeneralizedEigenvalueByGreedySearch | [ min_x frac{x'Ax}{x'Bx} \ extup{s. | Class | com.numericalmethod.suanshu.model.daspremont2008 | SuanShu |
ExtremalGeneralizedEigenvalueBySDP | Solves the problem described in Section 3. | Class | com.numericalmethod.suanshu.model.daspremont2008 | SuanShu |
ExtremalGeneralizedEigenvalueSolver | Computes the solution to the problem described in Section 3. | Interface | com.numericalmethod.suanshu.model.daspremont2008 | SuanShu |
IndependentCoVAR | This algorithm finds the independent variables based on the covariance matrix. | Class | com.numericalmethod.suanshu.model.daspremont2008 | SuanShu |