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Computing Maximum Likelihood Estimates for Gaussian Graphical Models with Macaulay2

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 نشر من قبل Carlos Am\\'endola
 تاريخ النشر 2020
  مجال البحث الاحصاء الرياضي
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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.



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