Methodological considerations for semialgebraic hypothesis testing with incomplete U-statistics

Fuente: arXiv
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Main Authors: Barnhill, David, Garrote-López, Marina, Gross, Elizabeth, Hill, Max, Kagy, Bryson, Rhodes, John A., Zhang, Joy Z.
Format: Preprint
Published: 2025
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_version_ 1866909694711300096
author Barnhill, David
Garrote-López, Marina
Gross, Elizabeth
Hill, Max
Kagy, Bryson
Rhodes, John A.
Zhang, Joy Z.
author_facet Barnhill, David
Garrote-López, Marina
Gross, Elizabeth
Hill, Max
Kagy, Bryson
Rhodes, John A.
Zhang, Joy Z.
contents Recently, Sturma, Drton, and Leung proposed a general-purpose stochastic method for hypothesis testing in models defined by polynomial equality and inequality constraints. Notably, the method remains theoretically valid even near irregular points, such as singularities and boundaries, where traditional testing approaches often break down. In this paper, we evaluate its practical performance on a collection of biologically motivated models from phylogenetics. While the method performs remarkably well across different settings, we catalogue a number of issues that should be considered for effective application.
format Preprint
id arxiv_https___arxiv_org_abs_2507_13531
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Methodological considerations for semialgebraic hypothesis testing with incomplete U-statistics
Barnhill, David
Garrote-López, Marina
Gross, Elizabeth
Hill, Max
Kagy, Bryson
Rhodes, John A.
Zhang, Joy Z.
Populations and Evolution
Methodology
92D15, 62F03, 62R01
Recently, Sturma, Drton, and Leung proposed a general-purpose stochastic method for hypothesis testing in models defined by polynomial equality and inequality constraints. Notably, the method remains theoretically valid even near irregular points, such as singularities and boundaries, where traditional testing approaches often break down. In this paper, we evaluate its practical performance on a collection of biologically motivated models from phylogenetics. While the method performs remarkably well across different settings, we catalogue a number of issues that should be considered for effective application.
title Methodological considerations for semialgebraic hypothesis testing with incomplete U-statistics
topic Populations and Evolution
Methodology
92D15, 62F03, 62R01
url https://arxiv.org/abs/2507.13531