pith:5NN7HTT5
Pattern-based tests for two-dimensional copulas
A functional central limit theorem for pattern frequencies in bivariate rank plots enables nonparametric copula tests.
arxiv:2605.13710 v1 · 2026-05-13 · math.ST · stat.TH
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Claims
We obtain a functional central limit theorem for such pattern frequencies in the context of two-dimensional random samples. The result serves as the basis for nonparametric goodness-of-fit tests, for two-sample tests, and for tests of symmetry.
The two-dimensional samples are i.i.d. from a continuous bivariate distribution, permitting the rank plot to be treated as a discrete copula whose pattern frequencies converge in the permuton topology.
A functional central limit theorem for pattern frequencies in 2D samples enables nonparametric goodness-of-fit, two-sample, and symmetry tests for copulas, with bootstrap critical values and parametric examples.
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| First computed | 2026-05-18T02:44:16.761709Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
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