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.
Székely and Maria L
4 Pith papers cite this work. Polarity classification is still indexing.
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A polarization catalog of 6,131 bursts from FRB 20240114A reveals linearly decreasing rotation measure, stable dispersion measure, high linear polarization fractions, low circular polarization, and a broad distribution of intrinsic polarization angles, indicating a dynamically evolving magneto-ionic
An unsupervised method detects domain shifts via localized density anomaly search in feature space, attributes the shift to a minimal subspace, and extracts balanced subsets from two unlabeled datasets.
The paper delivers a chronological history of Fréchet distances connecting early abstract set theory to curve metrics, optimal transport, and the FID metric in generative models.
citing papers explorer
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Pattern-based tests for two-dimensional copulas
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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FAST Polarization Catalog of FRB 20240114A
A polarization catalog of 6,131 bursts from FRB 20240114A reveals linearly decreasing rotation measure, stable dispersion measure, high linear polarization fractions, low circular polarization, and a broad distribution of intrinsic polarization angles, indicating a dynamically evolving magneto-ionic
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Unsupervised Domain Shift Detection with Interpretable Subspace Attribution
An unsupervised method detects domain shifts via localized density anomaly search in feature space, attributes the shift to a minimal subspace, and extracts balanced subsets from two unlabeled datasets.
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A Brief History of Fr\'echet Distances: From Curves and Probability Laws to FID
The paper delivers a chronological history of Fréchet distances connecting early abstract set theory to curve metrics, optimal transport, and the FID metric in generative models.