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February 27, 20260 citationsOpen Access

High-dimensional Sobolev tests on hyperspheres

BEBruno EbnerEGEduardo García‐PortuguésTVThomas Verdebout

Key Points

  • The central aim is to derive the null distribution of Sobolev tests on hyperspheres as dimensions and sample sizes increase.
  • Derived limits of Sobolev tests on hyperspheres under infinite dimension and sample size conditions.
  • Analyzed behavior under local alternatives using von Mises-Fisher distributions.
  • Conducted numerical experiments to validate theoretical findings concerning uniformity and symmetry.
  • Established the limit null distribution for Sobolev tests as dimensions diverge.
  • Identified asymptotic behavior for rotational and spherical symmetry tests.
  • Highlighted numerical evidence supporting derived theories under various alternative scenarios.

Abstract

We derive the limit null distribution of the class of Sobolev tests of uniformity on the hypersphere when the dimension and the sample size diverge to infinity at arbitrary rates. The limiting non-null behavior of these tests is obtained for a sequence of integrated von Mises-Fisher local alternatives. The asymptotic results are applied to test for high-dimensional rotational symmetry and spherical symmetry. Numerical experiments illustrate the derived behavior of the uniformity and spherically symmetry tests under the null and under local and fixed alternatives.

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Cite This Study

Ebner et al. (2025) studied this question.

synapsesocial.com/papers/69a1355fed1d949a99abf224https://doi.org/10.5445/ir/1000190983
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