On the maximum likelihood degree for Gaussian graphical models

Carlos Améndola, Rodica Andreea Dinu, Mateusz Michałek +1

In this paper we revisit the likelihood geometry of Gaussian graphical models. We give a detailed proof that the ML-degree behaves monotonically on induced subgraphs. Furthermore,…