Testing independence of functional variables by angle covariance-Reference-Cited by-同舟云学术

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Testing independence of functional variables by angle covariance

Published:2021-03 Issue: Volume:182 Page:104711
ISSN:0047-259X
Container-title:Journal of Multivariate Analysis
language:en
Short-container-title:Journal of Multivariate Analysis

Author:

Lai Tingyu,Zhang Zhongzhan,Wang Yafei,Kong Linglong^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Numerical Analysis,Statistics and Probability

Reference28 articles.

1. Introduction to Measure Theory and Integration;Ambrosio,2012

2. Introduction to Stochastic Analysis and Malliavin Calculus;Da Prato,2014

3. Nonparametric Functional Data Analysis: Theory and Practice;Ferraty,2006

4. Measuring statistical dependence with Hilbert–Schmidt norms;Gretton,2005

5. A kernel statistical test of independence;Gretton,2008

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1. Kernel Angle Dependence Measures in Metric Spaces;Journal of Computational and Graphical Statistics;2024-07-10

2. An independence test for functional variables based on kernel normalized cross-covariance operator;Journal of Multivariate Analysis;2024-07

3. Semiparametric bivariate hierarchical state space model with application to hormone circadian relationship;The Annals of Applied Statistics;2024-06-01

4. Testing independence of functional variables by an Hilbert–Schmidt independence criterion estimator;Statistics & Probability Letters;2024-04

5. Kernel-based method for joint independence of functional variables;Communications in Statistics - Theory and Methods;2024-03-13

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