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A fast and accurate kernel-based independence test with applications to high-dimensional and functional data

A fast and accurate kernel-based independence test with applications to high-dimensional and functional data

Jin-Ting Zhang
Tianming Zhu
ArXiv (abs)PDFHTML

Papers citing "A fast and accurate kernel-based independence test with applications to high-dimensional and functional data"

5 / 5 papers shown
Title
From Distance Correlation to Multiscale Graph Correlation
From Distance Correlation to Multiscale Graph Correlation
Cencheng Shen
Carey E. Priebe
Joshua T. Vogelstein
55
64
0
26 Oct 2017
Large-Scale Kernel Methods for Independence Testing
Large-Scale Kernel Methods for Independence Testing
Qinyi Zhang
Sarah Filippi
Arthur Gretton
Dino Sejdinovic
114
132
0
25 Jun 2016
Kernel-based Tests for Joint Independence
Kernel-based Tests for Joint Independence
Niklas Pfister
Peter Buhlmann
Bernhard Schölkopf
J. Peters
59
186
0
01 Mar 2016
Kernel-based Conditional Independence Test and Application in Causal Discovery
Kernel-based Conditional Independence Test and Application in Causal Discovery
Kun Zhang
J. Peters
Dominik Janzing
Bernhard Schölkopf
BDLCML
107
631
0
14 Feb 2012
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

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