Pointers to Causal Inference
- Causal Salad by Richard Mcelreath
- Causal Inference by Brady Neal, videos
- A Crash Course in Causality: Inferring Causal Effects from Observational Data by Jason A. Roy
- Gov 2003: Causal Inference with Applications by Matthew Blackwell
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The Book of Why: The New Science of Cause and Effect by Judea Pearl
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JUDEA PEARL, MADELYN GLYMOUR, NICHOLAS P. JEWELL CAUSAL INFERENCE IN STATISTICS: A PRIMER
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Regression and Other Stories by Andrew Gelman, Jennifer Hill, and Aki Vehtari
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Introduction to Causal Inference from a Machine Learning Perspective by Brady Neal
- Causal inference in statistics: An overview by Judea Pearl
- Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics by Guido W. Imbens
- Matching methods for causal inference: A review and a look forward
- Causal Machine Learning: A Survey and Open Problems by Jean Kaddour, Aengus Lynch, Qi Liu, Matt J. Kusner, and Ricardo Silva
- Quasi-Experimental Designs for Causal Inference Yongnam by Kim and Peter Steiner
- Resolving disputes between J. Pearl and D. Rubin on causal inference
- ML beyond Curve Fitting: An Intro to Causal Inference and do-Calculus
- Quora: Why is there a dispute between Judea Pearl and Rubin with respect to the theoretical frameworks used in causal modelling?
- AAAI-20 Tutorial Representation Learning for Causal Inference
- Propensity Score Matching by Zolzaya Luvsandorj