4.2 Article

Efficient computation of the Bergsma-Dassios sign covariance

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COMPUTATIONAL STATISTICS
卷 31, 期 1, 页码 315-328

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SPRINGER HEIDELBERG
DOI: 10.1007/s00180-015-0639-x

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Binary tree; Kendall's tau; Nonparametric correlation; Spearman's rho; Rank correlation; Test of independence

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In an extension of Kendall's , Bergsma and Dassios (Bernoulli 20(2):1006-1028, 2014) introduced a covariance measure for two ordinal random variables that vanishes if and only if the two variables are independent. For a sample of size n, a direct computation of , the empirical version of , requires operations. We derive an algorithm that computes the statistic using only operations.

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