evidence in a dataset in favour of the dependence or independence of two variables
conditional on a third. The approach uses Polya tree priors on spaces of conditional
probability densities, accounting for uncertainty in the form of the underlying distributions in
a nonparametric way. The Bayesian perspective provides an inherently symmetric
probability measure of conditional dependence or independence, a feature particularly …