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Log-concave density estimation in undirected graphical models
We study the problem of maximum likelihood estimation of densities that are log-concave and lie in the graphical model corresponding to a given undirected graph $G$.
Computing Maximum Likelihood Estimates for Gaussian Graphical Models with Macaulay2
We introduce the package "GraphicalModelsMLE" for computing the maximum likelihood estimates (MLEs) of a Gaussian graphical model in the computer algebra system Macaulay2.
Computation Commutative Algebra 14-04, 62R01, 62H22, 62F10
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