Graphical Causal Models
Pearl's DAGs, do-calculus, and front-door/back-door criteria.
Graphical Causal Models. Pearl’s DAGs, do-calculus, and front-door/back-door criteria.
Foundations and canonical references
The standard treatments of graphical causal models approach the subject from complementary angles. Pearl, Causality: Models, Reasoning, and Inference (2009) is the anchor reference for the subject and lays out the core definitions, theorems, and worked examples that practitioners return to.
Open methodological questions for graphical causal models include sharpening the bridges between foundational theory and computational practice, extending classical results to broader or more structured settings, and integrating the techniques surveyed above with adjacent mathematical disciplines. The references listed in this page are the entry points that current work builds on.
Prerequisites
Sources
- textbook · primary · 2009Causality: Models, Reasoning, and Inferencepearl-2009
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