activity
20142026
most citedRational partition models under iterative proportional scaling

5 citations · 20 across the 16 of their papers we have counts for

collaborators

18 papers

math.CO2026

Markov and lattice bases for Forman-Ricci curvature of graphs

Jane Ivy Coons, Giulio Zucal

Discrete Forman-Ricci curvature is a quantity associated to each edge of a graph that describes its local geometry. It has proven to be a useful tool in network analysis in a varie…

math.ST2026

Algebraic statistics of Hüsler-Reiss graphical models in multivariate extremes

Carlos Améndola, Jane Ivy Coons, Alexandros Grosdos +1

The field of extreme value statistics is concerned with modeling and predicting rare events. In a Hüsler-Reiss graphical model, a graph represents extremal conditional independence…

math.ST2026

Identifiability in Graphical Discrete Lyapunov Models

Cecilie Olesen Recke, Sarah Lumpp, Nataliia Kushnerchuk +4

In this paper, we study discrete Lyapunov models, which consist of steady-state distributions of first-order vector autoregressive models. The parameter matrix of such a model enco…

math.AG2024

Geometry of rational quasi-independence models as toric fiber products

Jane Ivy Coons, Heather A. Harrington, Niharika Chakrabarty Paul

We investigate the geometry of a family of log-linear statistical models called quasi-independence models. The toric fiber product is useful for understanding the geometry of param…

math.ST2024★ 1 cited

Maximum Likelihood Degrees of Brownian Motion Tree Models: Star Trees and Root Invariance

Jane Ivy Coons, Shelby Cox, Aida Maraj +1

A Brownian motion tree (BMT) model is a Gaussian model whose associated set of covariance matrices is linearly constrained according to common ancestry in a phylogenetic tree. We s…

math.ST2024★ 1 cited

Mixtures of Discrete Decomposable Graphical Models

Yulia Alexandr, Jane Ivy Coons, Nils Sturma

We study mixtures of decomposable graphical models, focusing on their ideals and dimensions. For mixtures of clique stars, we characterize the ideals in terms of ideals of mixtures…

math.ST2023

Parametric and nonparametric symmetries in graphical models for extremes

Frank Röttger, Jane Ivy Coons, Alexandros Grosdos

Colored graphical models provide a parsimonious approach to modeling high-dimensional data by exploiting symmetries in the model parameters. In this work, we introduce the notion o…

math.CO2023

Mixed volumes of networks with binomial steady-states

Jane Ivy Coons, Mark Curiel, Elizabeth Gross

The steady-state degree of a chemical reaction network is the number of complex steady-states for generic rate constants and initial conditions. One way to bound the steady-state d…

q-bio.PE2023

Identifiability of the Rooted Tree Parameter under the Cavender-Farris-Neyman Model with a Molecular Clock

Jane Ivy Coons, Benjamin Hollering

Identifiability of the discrete tree parameter is a key property for phylogenetic models since it is necessary for statistically consistent estimation of the tree from sequence dat…

math.AG2022★ 5 cited

Rational partition models under iterative proportional scaling

Jane Ivy Coons, Carlotta Langer, Michael Ruddy

In this work we investigate partition models, the subset of log-linear models for which one can perform the iterative proportional scaling (IPS) algorithm to numerically compute th…

math.CO2021★ 4 cited

Symmetrically colored Gaussian graphical models with toric vanishing ideal

Jane Ivy Coons, Aida Maraj, Pratik Misra +1

A colored Gaussian graphical model is a linear concentration model in which equalities among the concentrations are specified by a coloring of an underlying graph. The model is cal…

math.ST2020

Reciprocal Maximum Likelihood Degrees of Brownian Motion Tree Models

Tobias Boege, Jane Ivy Coons, Christopher Eur +2

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, a…

math.CO2020★ 2 cited

Generalized Cut Polytopes for Binary Hierarchical Models

Jane Ivy Coons, Joseph Cummings, Benjamin Hollering +1

Marginal polytopes are important geometric objects that arise in statistics as the polytopes underlying hierarchical log-linear models. These polytopes can be used to answer geomet…

math.ST2020

Quasi-independence models with rational maximum likelihood estimator

Jane Ivy Coons, Seth Sullivant

We classify the two-way independence quasi-independence models (or independence models with structural zeros) that have rational maximum likelihood estimators, or MLEs. We give a n…

math.AG2019★ 4 cited

Maximum likelihood degree of the two-dimensional linear Gaussian covariance model

Jane Ivy Coons, Orlando Marigliano, Michael Ruddy

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 nu…

math.CO2019

The -polynomial of the order polytope of the zig-zag poset

Jane Ivy Coons, Seth Sullivant

We describe a family of shellings for the canonical triangulation of the order polytope of the zig-zag poset. This gives a new combinatorial interpretation for the coefficients in…

math.AG2018★ 1 cited

The Cavender-Farris-Neyman Model with a Molecular Clock

Jane Ivy Coons, Seth Sullivant

We give a combinatorial description of the toric ideal of invariants of the Cavender-Farris-Neyman model with a molecular clock (CFN-MC) on a rooted binary phylogenetic tree and pr…

math.CO2014★ 2 cited

Combinatorics of k-Interval Cospeciation for Cophylogeny

Jane Ivy Coons, Joseph Rusinko

We show that the cophylogenetic distance, k-interval cospeciation, is distinct from other metrics and accounts for global congruence between locally incongruent trees. The growth o…