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On the Kolmogorov Distance of Max-Stable Distributions

Probability 2025-10-22 v1 Applications Methodology Other Statistics

Abstract

In this contribution, we derive explicit bounds on the Kolmogorov distance for multivariate max-stable distributions with Fr\'echet margins. We formulate those bounds in terms of (i) Wasserstein distances between de Haan representers, (ii) total variation distances between spectral/angular measures - removing the dimension factor from earlier results in the canonical sphere case - and (iii) discrepancies of the Psi-functions in the inf-argmax decomposition. Extensions to different margins and Archimax/clustered Archimax copulas are further discussed. Examples include logistic, comonotonic, independent and Brown-Resnick models.

Keywords

Cite

@article{arxiv.2510.18094,
  title  = {On the Kolmogorov Distance of Max-Stable Distributions},
  author = {Enkelejd Hashorva},
  journal= {arXiv preprint arXiv:2510.18094},
  year   = {2025}
}

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17 pages