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Completions to discrete probability distributions in log-linear models

May Cai, Cecilie Olesen Recke and Thomas Yahl

Vol. 15 (2024), No. 2, 225–247
Abstract

Completion problems, of recovering a point from a set of observed coordinates, are abundant in applications to image reconstruction, phylogenetics, and data science. We consider a completion problem coming from algebraic statistics: to describe the completions of a point to a probability distribution lying in a given log-linear model. When there are finitely many completions, we show that these points either have a unique completion or two completions to the log-linear model depending on the set of observed coordinates.

Keywords
log-linear model, toric variety, completion, algebraic moment map, semialgebraic set, algebraic boundary
Mathematical Subject Classification
Primary: 14N10, 62D10
Secondary: 14M25, 14P10, 62R01
Milestones
Received: 13 February 2024
Revised: 10 September 2024
Accepted: 19 September 2024
Published: 3 December 2024
Authors
May Cai
Georgia Institute of Technology
Atlanta, GA
United States
Cecilie Olesen Recke
University of Copenhagen
Copenhagen
Denmark
Thomas Yahl
University of Wisconsin
Madison, WI
United States