Proof of a Conjecture of Drton, Sturmfels and Sullivant on the maximum likelihood degree of the Gaussian graphical model of a cycle

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Dinu, Rodica Andreea, Vodička, Martin
Natura: Preprint
Pubblicazione: 2025
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866915181721812992
author Dinu, Rodica Andreea
Vodička, Martin
author_facet Dinu, Rodica Andreea
Vodička, Martin
contents In this article, we compute the precise value of the maximum likelihood degree of the Gaussian graphical model of a cycle, confirming a conjecture due to Drton, Sturmfels and Sullivant.
format Preprint
id arxiv_https___arxiv_org_abs_2503_02704
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Proof of a Conjecture of Drton, Sturmfels and Sullivant on the maximum likelihood degree of the Gaussian graphical model of a cycle
Dinu, Rodica Andreea
Vodička, Martin
Algebraic Geometry
Probability
Statistics Theory
In this article, we compute the precise value of the maximum likelihood degree of the Gaussian graphical model of a cycle, confirming a conjecture due to Drton, Sturmfels and Sullivant.
title Proof of a Conjecture of Drton, Sturmfels and Sullivant on the maximum likelihood degree of the Gaussian graphical model of a cycle
topic Algebraic Geometry
Probability
Statistics Theory
url https://arxiv.org/abs/2503.02704