Testing independence in high dimensions using Kendall’s tau

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2018 English Publisher:Elsevier BVJournal:Computational Statistics & Data Analysis, volume 117, pages 128-137 (issn: 0167-9473,

Copyright policy )

Authors: Guangyu Mao;

doi: 10.1016/j.csda.2017.07.012

Testing independence in high dimensions using Kendall’s tau

- Summary
- Subjects
- Metrics

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Related Organizations

Beijing Jiaotong University
China (People's Republic of)

Keywords

Kendall's tau, Measures of association (correlation, canonical correlation, etc.), high dimensions, independence test, Computational methods for problems pertaining to statistics, Hypothesis testing in multivariate analysis, rank correlation

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	24
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%