A fast and accurate kernel-based independence test with applications to high-dimensional and functional data-Reference-Cited by-同舟云学术

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

Published:2024-07 Issue: Volume:202 Page:105320
ISSN:0047-259X
Container-title:Journal of Multivariate Analysis
language:en
Short-container-title:Journal of Multivariate Analysis

Author:

Zhang Jin-Ting,Zhu Tianming^ORCID

Funder

National Institute of Education

National University of Singapore

Nanyang Technological University National Institute of Education

Publisher

Elsevier BV

Reference29 articles.

1. Dynamical correlation for multivariate longitudinal data;Dubin;J. Amer. Statist. Assoc.,2005

2. Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces;Fukumizu;J. Mach. Learn. Res.,2004

3. Multivariate analysis of variance for functional data;Górecki;J. Appl. Stat.,2017

4. A kernel two-sample test;Gretton;J. Mach. Learn. Res.,2012

5. Measuring statistical dependence with Hilbert-Schmidt norms;Gretton,2005

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1. Design of Students’ Personalized Learning Paths under the Integration and Development of Technology and Basic Education;Applied Mathematics and Nonlinear Sciences;2024-01-01

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