A computational approach to maximum likelihood thresholds for colored Gaussian graphical models
This work addresses the computation of the MLT for CGGMs by focusing on its geometric formulation: finding the minimum rank of a sample covariance matrix such that its projection lies almost surely within the interior of the cone of sufficient statistics.
R. Homs, Olga Kuznetsova, Bernadette J. Stolz
· 0 citations