Lawrence Lifts, Matroids, and Maximum Likelihood Degrees

Fuente: arXiv
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Main Authors: Brysiewicz, Taylor, Maraj, Aida
Format: Preprint
Published: 2023
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author Brysiewicz, Taylor
Maraj, Aida
author_facet Brysiewicz, Taylor
Maraj, Aida
contents We express the maximum likelihood (ML) degrees of a family toric varieties in terms of Mobius invariants of matroids. The family of interest are those parametrized by monomial maps given by Lawrence lifts of totally unimodular matrices with even circuits. Specifying these matrices to be vertex-edge incidence matrices of bipartite graphs gives the ML degrees of some hierarchical models and three dimensional quasi-independence models. Included in this list are the no-three-way interaction models with one binary random variable, for which, we give closed formulae.
format Preprint
id arxiv_https___arxiv_org_abs_2310_13064
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Lawrence Lifts, Matroids, and Maximum Likelihood Degrees
Brysiewicz, Taylor
Maraj, Aida
Combinatorics
Algebraic Geometry
62R01 (Primary) 52B40, 14M25 (Secondary)
We express the maximum likelihood (ML) degrees of a family toric varieties in terms of Mobius invariants of matroids. The family of interest are those parametrized by monomial maps given by Lawrence lifts of totally unimodular matrices with even circuits. Specifying these matrices to be vertex-edge incidence matrices of bipartite graphs gives the ML degrees of some hierarchical models and three dimensional quasi-independence models. Included in this list are the no-three-way interaction models with one binary random variable, for which, we give closed formulae.
title Lawrence Lifts, Matroids, and Maximum Likelihood Degrees
topic Combinatorics
Algebraic Geometry
62R01 (Primary) 52B40, 14M25 (Secondary)
url https://arxiv.org/abs/2310.13064