Philip A. Boeken

A Bayesian nonparametric conditional two-sample test with an application to Local Causal Discovery

For a continuous random variable $Z$, testing conditional independence $X\indep Y|Z$ is known to be a particularly hard problem. It constitutes a key ingredient of many constraint-based causal discovery algorithms. These algorithms are often applied to datasets containing binary variables, which ind…