Carlos Améndola

Learning Barycenters from Signature Matrices

Abstract. The expected signature of a family of paths need not be a signature of a path itself. Motivated by this, we consider the notion of a Lie group barycenter introduced by Buser and Karcher to propose a barycenter on path signatures. We show that every element of the free n...

On the maximum likelihood degree of Gaussian graphical models

Abstract 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, we complete a missing argument that the ML‐degree of the cycle is larger than 1 for any , t...