9 citations · 13 across the 9 of their papers we have counts for
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The Maximum Likelihood Degree of Linear Spaces of Symmetric Matrices
Carlos Améndola, Lukas Gustafsson, Kathlén Kohn +2
We study multivariate Gaussian models that are described by linear conditions on the concentration matrix. We compute the maximum likelihood (ML) degrees of these models. That is,…
Linear Spaces of Symmetric Matrices with Non-Maximal Maximum Likelihood Degree
Kathlen Kohn, Rosa Winter, Yuhan Jiang
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.…
Maximum Likelihood Estimation for Nets of Conics
Stefan Dye, Kathlén Kohn, Felix Rydell +1
We study the problem of maximum likelihood estimation for -dimensional linear spaces of symmetric matrices from the point of view of algebraic statistics where we vi…
PLP -- Point-line Minimal Problems under Partial Visibility in Three Views
Timothy Duff, Kathlén Kohn, Anton Leykin +1
We present a complete classification of minimal problems for generic arrangements of points and lines in space observed partially by three calibrated perspective cameras when each…