A computational approach to maximum likelihood thresholds for colored Gaussian graphical models

Roser Homs, Olga Kuznetsova, Bernadette J. Stolz

Gaussian graphical models (GGMs) are essential tools for interpretable structure learning. However, in high-dimensional, small-sample regimes, the available data is often insuffici…