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The Randomized Dependence Coefficient

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We introduce the Randomized Dependence Coefficient (RDC), a measure of non-linear dependence between random variables of arbitrary dimension based on the Hirschfeld-Gebelein-R\'enyi Maximum Correlation Coefficient. RDC is defined in terms of correlation of random non-linear copula projections; it is invariant with respect to marginal distribution transformations, has low computational cost and is easy to implement: just five lines of R code, included at the end of the paper.

David Lopez-Paz, Philipp Hennig, Bernhard Sch\"olkopf• 2013

Related benchmarks

TaskDatasetResultRank
Dependence DetectionLinear dependence model
Power28
25
Dependence TestingLaplace A
Power23.1
22
Dependence TestingTree ring B
Power0.466
2
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