Manifold energy two-sample test
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Publication:6200874
DOI10.1214/23-ejs2203OpenAlexW4391419839WikidataQ128976499 ScholiaQ128976499MaRDI QIDQ6200874
Publication date: 25 March 2024
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/journals/electronic-journal-of-statistics/volume-18/issue-1/Manifold-energy-two-sample-test/10.1214/23-EJS2203.full
Cites Work
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- Equivalence of distance-based and RKHS-based statistics in hypothesis testing
- A characterization of distributions by mean values of statistics and certain probabilistic metrics
- Positive definite metric spaces
- Manifold estimation and singular deconvolution under Hausdorff loss
- Strict \(p\)-negative type of a metric space
- Hyperbolic space has strong negative type
- Multivariate generalizations of the Wald-Wolfowitz and Smirnov two-sample tests
- On a new multivariate two-sample test.
- Interpoint distance based two sample tests in high dimension
- Strong negative type in spheres
- Diffusion maps
- Vector diffusion maps and the connection Laplacian
- Multivariate Two-Sample Tests Based on Nearest Neighbors
- Asymptotic Statistics
- Asymptotic normality of interpoint distances for high-dimensional data with applications to the two-sample problem
- Convergence rates for estimators of geodesic distances and Frèchet expectations
- Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data
- Metric Spaces and Positive Definite Functions
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