Linear Spaces of Symmetric Matrices with Non-Maximal Maximum Likelihood Degree

We study the maximum likelihood degree of linear concentration models in algebraic statistics. We relate the geometry of the reciprocal variety to that of semidefinite programming. We show that the Zariski closure in the Grassmanian of the set of linear spaces that do not attain their maximal possib...

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Hauptverfasser:	Kohn, Kathlen, Winter, Rosa, Jiang, Yuhan
Format:	Artikel
Sprache:	eng
Schlagworte:	Mathematics - Algebraic Geometry Mathematics - Statistics Theory Statistics - Theory
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