Graph-theoretic multisample tests of equality in distribution for high dimensional data
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Publication:1659474
DOI10.1016/j.csda.2015.11.003zbMath1468.62158OpenAlexW2176509710MaRDI QIDQ1659474
Publication date: 15 August 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2015.11.003
Computational methods for problems pertaining to statistics (62-08) Hypothesis testing in multivariate analysis (62H15)
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Cites Work
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- Graph-theoretic measures of multivariate association and prediction
- Asymptotic normality of double-indexed linear permutation statistics
- DISCO analysis: A nonparametric extension of analysis of variance
- 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
- Sums of functions of nearest neighbor distances, moment bounds, limit theorems and a goodness of fit test
- Two-sample test statistics for measuring discrepancies between two multivariate probability density functions using kernel-based density estimates
- A multivariate Kolmogorov-Smirnov test of goodness of fit
- On a new multivariate two-sample test.
- On distribution-free tests for the multivariate two-sample location-scale model
- On the multivariate runs test
- Lower bounds for high dimensional nearest neighbor search and related problems
- A triangle test for equality of distribution functions in high dimensions
- Efficient algorithms for finding maximum matching in graphs
- Multivariate Two-Sample Tests Based on Nearest Neighbors
- Tests for the multivariate two-sample problem based on empirical probability measures
- A Bivariate Cramer-von Mises Type of Test for Spatial Randomness
- An Exact Distribution-Free Test Comparing Two Multivariate Distributions based on Adjacency
- Testing the Equality of Multivariate Distributions Using the Bootstrap and Integrated Empirical Processes
- The Relation Between Measures of Correlation in the Universe of Sample Permutations
- Testing the equality of distributions of random vectors with categorical components.