Maximum Likelihood Estimation of Toric Fano Varieties

Carlos Améndola, Dimitra Kosta, Kaie Kubjas

Research output: Contribution to journalArticleScientificpeer-review

Abstract

We study the maximum likelihood estimation problem for several classes of toric Fano models. We start by exploring the maximum likelihood degree for all $2$-dimensional Gorenstein toric Fano varieties. We show that the ML degree is equal to the degree of the surface in every case except for the quintic del Pezzo surface with two ordinary double points and provide explicit expressions that allow one to compute the maximum likelihood estimate in closed form whenever the ML degree is less than 5. We then explore the reasons for the ML degree drop using $A$-discriminants and intersection theory. Finally, we show that toric Fano varieties associated to 3-valent phylogenetic trees have ML degree one and provide a formula for the maximum likelihood estimate. We prove it as a corollary to a more general result about the multiplicativity of ML degrees of codimension zero toric fiber products, and it also follows from a connection to a recent result about staged trees.
Original languageEnglish
Number of pages28
JournalAlgebraic Statistics
Publication statusPublished - 1 Oct 2020
MoE publication typeA1 Journal article-refereed

Keywords

  • Mathematics - Statistics Theory
  • Mathematics - Algebraic Geometry
  • 62F10
  • 13P25
  • 14M25
  • 14Q15

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