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

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