Conditional Independence Tests for Constraint-Based Causal Discovery: A Survey
By Pavel Averin · Paper · stat.ML
Conditional Independence (CI) tests are the statistical engine of constraint-based causal discovery: in algorithms such as PC (Peter-Clark) and FCI (Fast Causal Inference), skeleton pruning and key orientations follow directly from CI decisions. This survey reviews CI testing wit