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We study the maximum likelihood degree (ML degree) of toric varieties, known as discrete exponential models in statistics. By introducing scaling coefficients to the monomial parameterization of the toric variety, one can change the ML…

This article focuses on the study of toric algebraic statistical models which correspond to toric Del Pezzo surfaces with Du Val singularities. A closed-form for the Maximum Likelihood Estimate of algebraic statistical models which…

Statistics Theory · Mathematics 2017-11-15 Dimitra Kosta

We settle a conjecture by Coons and Sullivant stating that the maximum likelihood (ML) degree of a facial submodel of a toric model is at most the ML degree of the model itself. We discuss the impact on the ML degree from observing zeros in…

Algebraic Geometry · Mathematics 2025-07-04 Carlos Améndola , Janike Oldekop , Maximilian Wiesmann

Inspired by Fujita's algebro-geometric result that complex projective space has maximal degree among all K-semistable complex Fano varieties, we conjecture that the height of a K-semistable metrized arithmetic Fano variety X of relative…

Algebraic Geometry · Mathematics 2024-11-20 Rolf Andreasson , Robert J. Berman

Given a statistical model, the maximum likelihood degree is the number of complex solutions to the likelihood equations for generic data. We consider discrete algebraic statistical models and study the solutions to the likelihood equations…

Algebraic Geometry · Mathematics 2014-05-06 Elizabeth Gross , Jose Israel Rodriguez

We formulate a conjecture on the number of integral points of bounded height on log Fano varieties in analogy with Manin's conjecture on the number of rational points of bounded height on Fano varieties. We also give a prediction for the…

Number Theory · Mathematics 2025-08-04 Tim Santens

We study the critical points of the likelihood function over the Fermat hypersurface. This problem is related to one of the main problems in statistical optimization: maximum likelihood estimation. The number of critical points over a…

Algebraic Geometry · Mathematics 2015-04-09 Daniele Agostini , Davide Alberelli , Francesco Grande , Paolo Lella

We study the problem of maximum likelihood (ML) estimation for statistical models defined by reflexive polytopes. Our focus is on the maximum likelihood degree of these models as an algebraic measure of complexity of the corresponding…

Statistics Theory · Mathematics 2024-07-24 Carlos Améndola , Janike Oldekop

The purpose of this paper is to give basic tools for the classification of nonsingular toric Fano varieties by means of the notions of primitive collections and primitive relations due to Batyrev. By using them we can easily deal with…

Algebraic Geometry · Mathematics 2007-05-23 Hiroshi Sato

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, we count the critical points of the likelihood function over…

Algebraic Geometry · Mathematics 2021-02-23 Carlos Améndola , Lukas Gustafsson , Kathlén Kohn , Orlando Marigliano , Anna Seigal

We show that algebraic varieties with maximum likelihood degree one are exactly the images of reduced A-discriminantal varieties under monomial maps with finite fibers. The maximum likelihood estimator corresponding to such a variety is…

Algebraic Geometry · Mathematics 2014-06-03 June Huh

Maximum likelihood estimation in statistics leads to the problem of maximizing a product of powers of polynomials. We study the algebraic degree of the critical equations of this optimization problem. This degree is related to the number of…

Algebraic Geometry · Mathematics 2007-06-13 Fabrizio Catanese , Serkan Hosten , Amit Khetan , Bernd Sturmfels

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…

Combinatorics · Mathematics 2025-12-03 Taylor Brysiewicz , Aida Maraj

We give an explicit formula for the reciprocal maximum likelihood degree of Brownian motion tree models. To achieve this, we connect them to certain toric (or log-linear) models, and express the Brownian motion tree model of an arbitrary…

Statistics Theory · Mathematics 2021-10-27 Tobias Boege , Jane Ivy Coons , Christopher Eur , Aida Maraj , Frank Röttger

The maximum likelihood degree (ML degree) measures the algebraic complexity of a fundamental optimization problem in statistics: maximum likelihood estimation. In this problem, one maximizes the likelihood function over a statistical model.…

Algebraic Geometry · Mathematics 2017-02-13 Jose Israel Rodriguez , Botong Wang

The maximum likelihood degree of a statistical model refers to the number of solutions, where the derivative of the log-likelihood function is zero, over the complex field. This paper examines the maximum likelihood degree of the parameter…

Statistics Theory · Mathematics 2025-02-10 Pooja Yadav , Tanuja Srivastava

In our previous work we conjectured - inspired by an algebro-geometric result of Fujita - that the height of an arithmetic Fano variety X of relative dimension $n$ is maximal when X is the projective space $\mathbb{P}^n_{\mathbb{Z}}$ over…

Algebraic Geometry · Mathematics 2024-03-05 Rolf Andreasson , Robert J. Berman

We show that the maximum likelihood degree of a smooth very affine variety is equal to the signed topological Euler characteristic. This generalizes Orlik and Terao's solution to Varchenko's conjecture on complements of hyperplane…

Algebraic Geometry · Mathematics 2019-02-20 June Huh

For fixed degree $d\leq 12$, we study the Hilbert scheme of degree $d$ smooth Fano threefolds in their anticanonical embeddings. We use this to classify all possible degenerations of these varieties to toric Fano varieties with at most…

Algebraic Geometry · Mathematics 2019-11-26 Jan Arthur Christophersen , Nathan Owen Ilten

In algebraic statistics, the maximum likelihood degree of a statistical model is the number of complex critical points of its log-likelihood function. A priori knowledge of this number is useful for applying techniques of numerical…

Algebraic Geometry · Mathematics 2020-12-30 Jane Ivy Coons , Orlando Marigliano , Michael Ruddy
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