Causality : models, reasoning, and inference / Judea Pearl, University of California, Los Angeles.
Saved in:
| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Cambridge, U.K. ; New York :
Cambridge University Press,
2013.
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| Edition: | Second edition. |
| Subjects: | |
| Online Access: | Contributor biographical information |
Table of Contents:
- 1. Introduction to probabilities, graphs, and causal models
- 2. 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. Logic of structure-based counterfactuals
- 8. Imperfect experiments: bounding effects and counterfactuals
- 9. Probability of causation: interpretation and identification
- 10. Actual cause
- 11. Reflections, elaborations, and discussions with readers
- 12. Epilogue, the art and science of cause and effect.