Discussion of: Brownian distance covariance
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Publication:5966378
DOI10.1214/09-AOAS312EzbMath1454.62175arXiv1010.0836MaRDI QIDQ5966378
Kenji Fukumizu, Arthur Gretton, Bharath K. Sriperumbudur
Publication date: 21 April 2010
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1010.0836
kernel methodsreproducing kernel Hilbert spacecovariance operatorBrownian distance covarianceindependence testing
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Cites Work
- Unnamed Item
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- Measuring and testing dependence by correlation of distances
- Goodness-of-fit statistics for discrete multivariate data
- A quadratic measure of deviation of two-dimensional density estimates and a test of independence
- A consistent modification of a test for independence based on the empirical characteristic function
- Nonlinear canonical analysis and independence tests
- Probability essentials
- Kernel dimension reduction in regression
- 10.1162/153244302760185252
- Hilbert space embeddings and metrics on probability measures
- 10.1162/153244303768966085
- On measures of dependence
- Approximation Theorems of Mathematical Statistics
- A Hilbert Space Embedding for Distributions
- Nonparametric Independence Tests: Space Partitioning and Kernel Approaches
- Joint Measures and Cross-Covariance Operators
- A Consistent Test for Bivariate Dependence
- Selected Topics in Characteristic Functions
- Learning Theory and Kernel Machines
- Algorithmic Learning Theory
- Scattered Data Approximation
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