activity
20172022
most citedThe Maximum Likelihood Degree of Linear Spaces of Symmetric Matrices

9 citations · 13 across the 4 of their papers we have counts for

collaborators
Showing math.AGShow all

8 papers · 1 filter

math.AG20221 cited

Voronoi diagrams of algebraic varieties under polyhedral norms

Adrian Becedas, Kathlén Kohn, Lorenzo Venturello

We study Voronoi diagrams of manifolds and varieties with respect to polyhedral norms. We provide upper and lower bounds on the dimensions of Voronoi cells. For algebraic varieties…

math.AG20209 cited

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,…

math.AG20203 cited

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.…

math.AG2020

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…

math.AG2019

Projective geometry of Wachspress coordinates

Kathlén Kohn, Kristian Ranestad

We show that there is a unique hypersurface of minimal degree passing through the non-faces of a polytope which is defined by a simple hyperplane arrangement. This generalizes the…

math.AG2019

Isotropic and Coisotropic Subvarieties of Grassmannians

Kathlén Kohn, James Mathews

We generalize the notion of coisotropic hypersurfaces to subvarieties of Grassmannians having arbitrary codimension. To every projective variety X, Gel'fand, Kapranov and Zelevinsk…