Skip to content
conftrace_
2013 NeurIPS NeurIPS 2013

The Randomized Dependence Coefficient

We introduce the Randomized Dependence Coefficient (RDC), a measure of non-linear dependence between random variables of arbitrary dimension based on the Hirschfeld-Gebelein-Rényi 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.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Mathematics & Optimization

More from NeurIPS 2013

All NeurIPS 2013 papers →