Abstract Constraint-based causal discovery (CCD) algorithms require fast and accurate conditional independence (CI …) testing. The Kernel Conditional Independence Test (KCIT) is currently one of the most popular CI tests in the non … size. We therefore devise two relaxations called the Randomized Conditional Independence Test (RCIT) and the Randomized …

Graphical Models (QGMs) to characterize prediction and conditional independence relationships within a set of random variables … propose two distinct QGMs. First, Condition Independence Quantile Graphical Models (CIQGMs) characterize conditional … independence at each quantile index revealing the distributional dependence structure. Second, Prediction Quantile Graphical Models …