Independence test for large sparse contingency tables based on distance correlation

DOI10.1016/j.spl.2018.12.010zbMath1412.62075OpenAlexW2908428126WikidataQ128658777 ScholiaQ128658777MaRDI QIDQ1726907

Qingyang Zhang

Publication date: 20 February 2019

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2018.12.010

zbMATH Keywords

independence testdistance correlationsparse contingency tableprojection correlation

Mathematics Subject Classification ID

Measures of association (correlation, canonical correlation, etc.) (62H20) Contingency tables (62H17)

Cites Work

• Measuring and testing dependence by correlation of distances
• The distance correlation \(t\)-test of independence in high dimension
• Rejoinder: ``Brownian distance covariance
• Gaussian measures in Banach spaces
• A consistent test of independence based on a sign covariance related to Kendall's tau
• An Introduction to Categorical Data Analysis
• Kernel-Based Tests for Joint Independence
• Conditional Distance Correlation
• Projection correlation between two random vectors
• A study of the power and robustness of a new test for independence against contiguous alternatives

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