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On Ranking-based Tests of Independence

On Ranking-based Tests of Independence

Myrto Limnios
Stephan Clémençon
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Papers citing "On Ranking-based Tests of Independence"

6 / 6 papers shown
Title
A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing
A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing
Kevin Han Huang
Xing Liu
Andrew B. Duncan
Axel Gandy
24
4
0
11 Feb 2023
On universally consistent and fully distribution-free rank tests of vector independence
On universally consistent and fully distribution-free rank tests of vector independence
Hongjian Shi
Marc Hallin
Mathias Drton
Fang Han
57
37
0
04 Jul 2020
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
175
405
0
20 Oct 2016
Equivalence of distance-based and RKHS-based statistics in hypothesis testing
Equivalence of distance-based and RKHS-based statistics in hypothesis testing
Dino Sejdinovic
Bharath K. Sriperumbudur
Arthur Gretton
Kenji Fukumizu
221
687
0
25 Jul 2012
A Kernel Method for the Two-Sample Problem
A Kernel Method for the Two-Sample Problem
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
235
2,365
0
15 May 2008
Measuring and testing dependence by correlation of distances
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
279
2,602
0
28 Mar 2008