Computing Maximum Likelihood Estimates for Gaussian Graphical Models with Macaulay2

12/21/2020

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by   Carlos Améndola, et al.

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We introduce the package GraphicalModelsMLE for computing the maximum likelihood estimator (MLE) of a Gaussian graphical model in the computer algebra system Macaulay2. The package allows to compute for the class of loopless mixed graphs. Additional functionality allows to explore the underlying algebraic structure of the model, such as its ML degree and the ideal of score equations.