Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information

5 Sep 2017Jakob Runge

Conditional independence testing is a fundamental problem underlying causal discovery and a particularly challenging task in the presence of nonlinear and high-dimensional dependencies. Here a fully non-parametric test for continuous data based on conditional mutual information combined with a local permutation scheme is presented... (read more)

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