Completions to Discrete Probability Distributions in Log-linear Models

Fuente: arXiv
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Main Authors: Cai, May, Recke, Cecilie Olesen, Yahl, Thomas
Format: Preprint
Published: 2023
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author Cai, May
Recke, Cecilie Olesen
Yahl, Thomas
author_facet Cai, May
Recke, Cecilie Olesen
Yahl, Thomas
contents 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. We additionally describe the region of points which have a completion to the log-linear model.
format Preprint
id arxiv_https___arxiv_org_abs_2312_15154
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Completions to Discrete Probability Distributions in Log-linear Models
Cai, May
Recke, Cecilie Olesen
Yahl, Thomas
Statistics Theory
Algebraic Geometry
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. We additionally describe the region of points which have a completion to the log-linear model.
title Completions to Discrete Probability Distributions in Log-linear Models
topic Statistics Theory
Algebraic Geometry
url https://arxiv.org/abs/2312.15154