The Regularization Parameter: Sparse Precision Matrix Estimation
A closed-form, matrix-valued regularization parameter derived from the sampling distribution of the first-order optimality conditions of the Gaussian maximum-likelihood estimator is proposed, which achieves estimation accuracy comparable to cross-validation, delivers superior support recovery, and reduces runtime by se...