Add to ORKGWe prove a conjecture of Sturmfels, Timme and Zwiernik on the ML-degrees of linear covariance models in algebraic statistics. As in our previous works on linear concentration models, the proof ultimately relies on the computation of certain intersection numbers on the varieties of complete quadrics
In this paper we develop a strategy and some technical tools for proving the Andre-Oort conjecture. ...
Starting from the invariant theory of binary forms, we extend the classical notion of covariants and...
We present the result of the certification method described in [1] for the computation of the ML deg...
We prove a conjecture of Sturmfels, Timme and Zwiernik on the ML-degrees of linear covariance models...
35 pagesWe establish connections between: the maximum likelihood degree (ML-degree) for linear conce...
We study multivariate Gaussian models that are described by linear conditions on the concentration m...
We show that the reciprocal maximal likelihood degree (rmld) of adiagonal linear concentration model...
Lascoux polynomials have been recently introduced to prove polynomiality of the maximum-likelihood d...
We study the maximum likelihood degree of linear concentration models in algebraic statistics. We re...
In a recent paper, Hauenstein, Sturmfels, and the second author discovered a conjectural bijection b...
© 2015, International Press of Boston, Inc. All rights reserved. Maximum likelihood estimation is a ...
This volume is based on lectures presented at the AMS Special Session on Algebraic Methods in Statis...
textabstractLet $\underline\alpha=(\alpha_1,\alpha_2,\dots,\alpha_m)\in{\Bbb R}_{>0}^m$. Let $\matho...
Two-dimensional linear spaces of symmetric matrices are classified by Segre symbols. After reviewing...
Based on results by Brugall\'e and Mikhalkin, Fomin and Mikhalkin give formulas for computi...
In this paper we develop a strategy and some technical tools for proving the Andre-Oort conjecture. ...
Starting from the invariant theory of binary forms, we extend the classical notion of covariants and...
We present the result of the certification method described in [1] for the computation of the ML deg...
We prove a conjecture of Sturmfels, Timme and Zwiernik on the ML-degrees of linear covariance models...
35 pagesWe establish connections between: the maximum likelihood degree (ML-degree) for linear conce...
We study multivariate Gaussian models that are described by linear conditions on the concentration m...
We show that the reciprocal maximal likelihood degree (rmld) of adiagonal linear concentration model...
Lascoux polynomials have been recently introduced to prove polynomiality of the maximum-likelihood d...
We study the maximum likelihood degree of linear concentration models in algebraic statistics. We re...
In a recent paper, Hauenstein, Sturmfels, and the second author discovered a conjectural bijection b...
© 2015, International Press of Boston, Inc. All rights reserved. Maximum likelihood estimation is a ...
This volume is based on lectures presented at the AMS Special Session on Algebraic Methods in Statis...
textabstractLet $\underline\alpha=(\alpha_1,\alpha_2,\dots,\alpha_m)\in{\Bbb R}_{>0}^m$. Let $\matho...
Two-dimensional linear spaces of symmetric matrices are classified by Segre symbols. After reviewing...
Based on results by Brugall\'e and Mikhalkin, Fomin and Mikhalkin give formulas for computi...
In this paper we develop a strategy and some technical tools for proving the Andre-Oort conjecture. ...
Starting from the invariant theory of binary forms, we extend the classical notion of covariants and...
We present the result of the certification method described in [1] for the computation of the ML deg...