I am new in causal discovery. I am reading papers and other stuff about causal discovery, but couldn't get any good books or good information. Can anyone recommend the best book for causal discovery?
4 Answers
Additionally, you might want to check:
Peters, Janzing and Scholkopf, Elements of Causal Inference.
Spirtes, Glymour and Scheines, Causation, Prediction, and Search
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As far as I know, the two classics are
Judea Pearl. (2000). Causality: Models, Reasoning, and Inference. Cambridge University Press.
Judea Pearl and Dana Mackenzie. (2018). The Book of Why: The New Science of Cause and Effect. Basic Books.
I found additional books on causal inference. The only one of these that are on the sub-field of causal discovery might be the one that has discovery in the name.
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To get some basic concepts on causality (e.g. d-separation, confounding, causal sufficiency, stability, Markov equivalent class ...)
- Chapter 1,2 of Judea Pearl's <Causality: Models, Reasoning, and Inference>
To know the details of some classic causal discovery algorithms (PC, FCI, with and without causal sufficiency)
- Chapter 6 of Spirtes's <Causation, Prediction, and Search>
- Jiji Zhang's paper
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