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Multivariate tests of association based on univariate tests

Multivariate tests of association based on univariate tests

10 March 2016
R. Heller
Yair Heller
    CoGe
ArXiv (abs)PDFHTML

Papers citing "Multivariate tests of association based on univariate tests"

11 / 11 papers shown
A Unified Data Representation Learning for Non-parametric Two-sample Testing
A Unified Data Representation Learning for Non-parametric Two-sample TestingConference on Uncertainty in Artificial Intelligence (UAI), 2024
Xunye Tian
Liuhua Peng
Zhijian Zhou
Mingming Gong
Feng Liu
Yifan Zhang
455
0
0
30 Nov 2024
A survey of some recent developments in measures of association
A survey of some recent developments in measures of association
S. Chatterjee
302
30
0
09 Nov 2022
A new ranking scheme for modern data and its application to two-sample
  hypothesis testing
A new ranking scheme for modern data and its application to two-sample hypothesis testingAnnual Conference Computational Learning Theory (COLT), 2021
D. Zhou
Hao Chen
332
6
0
24 Dec 2021
Data-Driven Representations for Testing Independence: Modeling, Analysis
  and Connection with Mutual Information Estimation
Data-Driven Representations for Testing Independence: Modeling, Analysis and Connection with Mutual Information Estimation
Mauricio E. Gonzalez
Jorge F. Silva
M. Videla
Marcos E. Orchard
211
12
0
27 Oct 2021
A simple and flexible test of sample exchangeability with applications
  to statistical genomics
A simple and flexible test of sample exchangeability with applications to statistical genomics
Alan J. Aw
J. Spence
Yun S. Song
176
1
0
30 Sep 2021
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Meta Two-Sample Testing: Learning Kernels for Testing with Limited DataNeural Information Processing Systems (NeurIPS), 2021
Yifan Zhang
Wenkai Xu
Jie Lu
Danica J. Sutherland
262
27
0
14 Jun 2021
BEAUTY Powered BEAST
BEAUTY Powered BEAST
Kai Zhang
Zhigen Zhao
Wen-Xin Zhou
511
9
0
01 Mar 2021
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
344
43
0
04 Jul 2020
Learning Deep Kernels for Non-Parametric Two-Sample Tests
Learning Deep Kernels for Non-Parametric Two-Sample TestsInternational Conference on Machine Learning (ICML), 2020
Yifan Zhang
Wenkai Xu
Jie Lu
Guangquan Zhang
Arthur Gretton
Danica J. Sutherland
404
212
0
21 Feb 2020
Multivariate Rank-based Distribution-free Nonparametric Testing using
  Measure Transportation
Multivariate Rank-based Distribution-free Nonparametric Testing using Measure TransportationJournal of the American Statistical Association (JASA), 2019
Nabarun Deb
B. Sen
387
163
0
18 Sep 2019
BET on Independence
BET on Independence
Kai Zhang
457
61
0
17 Oct 2016
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