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20172026
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math.AG2026

Self-inverse linear subspaces of matrices

Rodica Andreea Dinu, Martin Vodička

We study linear subspaces of matrices whose inverse spaces are also linear. Based on the fact that any linear space containing the identity matrix and whose inverse space is linear…

math.AG2025

Proof of a Conjecture of Drton, Sturmfels and Sullivant on the maximum likelihood degree of the Gaussian graphical model of a cycle

Rodica Andreea Dinu, Martin Vodička

In this article, we compute the precise value of the maximum likelihood degree of the Gaussian graphical model of a cycle, confirming a conjecture due to Drton, Sturmfels and Sulli…

math.AG2024

Phylogenetic degrees for Jukes-Cantor model

Rodica Andreea Dinu, Martin Vodička

Jukes-Cantor model is one of the most meaningful statistical models from a biological perspective. We are interested in computing the algebraic degrees for phylogenetic varieties,…

math.AG2021

Geometry of the Gaussian graphical model of the cycle

Rodica Andreea Dinu, Mateusz Michałek, Martin Vodička

We prove a conjecture due to Sturmfels and Uhler concerning the degree of the projective variety associated to the Gaussian graphical model of the cycle. We involve new methods bas…

math.AG2020

Complete quadrics: Schubert calculus for Gaussian models and semidefinite programming

Laurent Manivel, Mateusz Michałek, Leonid Monin +2

We establish connections between: the maximum likelihood degree (ML-degree) for linear concentration models, the algebraic degree of semidefinite programming (SDP), and Schubert ca…

math.AG2019

Normality of the Kimura 3-parameter model

Martin Vodička

The Kimura 3-parameter model is one of the most fundamental phylogenetic models in algebraic statistics. We prove that all algebraic varieties associated to this model are projecti…