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Moment varieties from inverse Gaussian and gamma distributions

Oskar Henriksson, Lisa Seccia and Teresa Yu

Vol. 15 (2024), No. 2, 329–355
Abstract

Motivated by previous work on moment varieties for Gaussian distributions and their mixtures, we study moment varieties for two other statistically important two-parameter distributions: the inverse Gaussian and gamma distributions. In particular, we realize the moment varieties as determinantal varieties and find their degrees and singularities. We also provide computational evidence for algebraic identifiability of mixtures, and study the identifiability degree and Euclidean distance degree.

Keywords
method of moments, moment varieties, identifiability, determinantal varieties
Mathematical Subject Classification
Primary: 13P25, 62R01
Secondary: 13C40, 14N05
Milestones
Received: 15 February 2024
Revised: 3 June 2024
Accepted: 30 July 2024
Published: 3 December 2024
Authors
Oskar Henriksson
University of Copenhagen
Copenhagen
Denmark
Lisa Seccia
Université de Neuchâtel
Neuchâtel
Switzerland
Teresa Yu
University of Michigan
Ann Arbor, MI
United States