The geometry of Gaussian double Markovian distributions.

Gaussian double Markovian models consist of covariance matrices constrained by a pair of graphs specifying zeros simultaneously in the matrix and its inverse. We study the semi‐algebraic geometry of these models, in particular their dimension, smoothness, and connectedness as well as algebraic and combinatorial properties. [ABSTRACT FROM AUTHOR]