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On the Gröbner fans of max-linear Bayesian networks

  • Kamillo Ferry (TU Berlin)
E2 10 (Leon-Lichtenstein)

Abstract

Max-linear Bayesian networks (MLBN) are statistical models described by weighted directed acyclic graphs (weighted DAG). At the same time, we can associate to this weighted DAG an alcoved polyhedron, a polyhedron whose facet normals correspond to the type $A_n$ root system. This alcoved polyhedron also describes the feasible set of an optimal transport problem on the same weighted DAG. The combinatorics of this optimal transport problem are encoded by the Gröbner fan. We use this fact to enumerate the combinatorial types of alcoved polyhedra associated to MLBN

Saskia Gutzschebauch

Max Planck Institute for Mathematics in the Sciences Contact via Mail

Mirke Olschewski

Max Planck Institute for Mathematics in the Sciences Contact via Mail

Anne Frühbis-Krüger

Carl von Ossietzky Universität Oldenburg

Alheydis Geiger

Max Planck Institute for Mathematics in the Sciences

Max Horn

Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau

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