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1. Introduction to probabilities, graphs, and causal models;
2. A theory of inferred causation;
3. Causal diagrams and the identification of causal effects;
4. Actions, plans, and direct effects;
5. Causality and structural models in social science and economics;
6. Simpson's paradox, confounding, and collapsibility;
7. The logic of structure-based counterfactuals;
8. Imperfect experiments: bounding effects and counterfactuals;
9. Probability of causation: interpretation and identification;
10. The actual cause.
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Add Causality, Written by one of the preeminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in , Causality to the inventory that you are selling on WonderClubX
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Add Causality, Written by one of the preeminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in , Causality to your collection on WonderClub |