Maximum Likelihood Degrees via One-Edge Chordal Completion
Abstract
The maximum likelihood degree of a Gaussian graphical model measures the algebraic complexity of its likelihood equations. This paper studies maximum likelihood degrees of Gaussian graphical models through chordal completion. When a graph becomes chordal after one missing edge is added, its maximum likelihood degree is determined by the maximal cliques and clique-tree separators containing that edge. This recovers Uhler's formula for complete bipartite graphs with one part of size two, and extends it to deleted-spine clique books, whose degree is unchanged when a page is thickened to a clique. For several fill edges, the same method gives a product formula when no clique or separator bag contains two fill edges. We also determine four classes of vertices at which clique blow-up preserves the degree. Two follow from known results, and two are established here.
Related
- Maximum Edge Open Packing on AT-Free, Chordal, and Convex Bipartite Graphs
- Integer linear programming based methods for computing the maximum chordal subgraph of an arbitrary graph
- Decomposing multigraphs into two Class I subgraphs with prescribed maximum degrees
- Maximum spread of vertex degrees in a simple graph
- Restricted Maximum Likelihood Estimation in Generalized Linear Mixed Models
BibTeX
@misc{metya2026maximum,
title = {{Maximum Likelihood Degrees via One-Edge Chordal Completion}},
author = {Nilava Metya},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.19669},
eprint = {2610.19669},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.19669},
note = {CC BY-SA 4.0},
}
RIS
TY - UNPB
TI - Maximum Likelihood Degrees via One-Edge Chordal Completion
AU - Nilava Metya
PY - 2026
DA - 2026/10/14
PB - arXiv
DO - 10.48550/arxiv.2610.19669
UR - https://arxiv.org/abs/2610.19669
AB - The maximum likelihood degree of a Gaussian graphical model measures the algebraic complexity of its likelihood equations. This paper studies maximum likelihood degrees of Gaussian graphical models through chordal completion. When a graph becomes chordal after one missing edge is added, its maximum likelihood degree is determined by the maximal cliques and clique-tree separators containing that edge. This recovers Uhler's formula for complete bipartite graphs with one part of size two, and extends it to deleted-spine clique books, whose degree is unchanged when a page is thickened to a clique. For several fill edges, the same method gives a product formula when no clique or separator bag contains two fill edges. We also determine four classes of vertices at which clique blow-up preserves the degree. Two follow from known results, and two are established here.
ER -