Limiting distributions of graph-based test statistics on sparse and dense graphs
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Publication:6178584
DOI10.3150/23-bej1616arXiv2108.07446MaRDI QIDQ6178584
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Publication date: 16 January 2024
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2108.07446
Multivariate analysis (62Hxx) Nonparametric inference (62Gxx) Statistical distribution theory (62Exx)
Cites Work
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- An adaptable generalization of Hotelling's $T^2$ test in high dimension
- Graph-theoretic measures of multivariate association and prediction
- Asymptotic normality of double-indexed linear permutation statistics
- A multivariate two-sample test based on the number of nearest neighbor type coincidences
- Multivariate generalizations of the Wald-Wolfowitz and Smirnov two-sample tests
- Asymptotic distribution-free change-point detection for multivariate and non-Euclidean data
- On the multivariate runs test
- Graph-based change-point detection
- Two-Sample Tests for Multivariate Distributions
- Normal Approximation by Stein’s Method
- Multivariate Two-Sample Tests Based on Nearest Neighbors
- A Weighted Edge-Count Two-Sample Test for Multivariate and Object Data
- Graph-based two-sample tests for data with repeated observations
- A Simple Two-Sample Test in High Dimensions Based on L2-Norm
- An Exact Distribution-Free Test Comparing Two Multivariate Distributions based on Adjacency
- A Distribution Free Version of the Smirnov Two Sample Test in the $p$-Variate Case
- On a Test Whether Two Samples are from the Same Population
- On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
- A Combinatorial Central Limit Theorem
- The Relation Between Measures of Correlation in the Universe of Sample Permutations
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