Can someone recommend me a textbook on causal inference?
I read the first ~120 pages of Causality by Pearl, and I think it’s not the right book for me. The biggest two problems were the lack of exercises, and the long historical degressions. I also had difficulties wrapping my head around the big picture, even when understanding the low-level concepts (I don’t think I could implement a full stack for causal inference, even with the book, although I could probably implement the IC* algorithm).
I am still looking for something that’s formal, and will probably try chapter 16 of “All of Statistics” by Wassermann.
Elements of Causal Inference by Peters is supposed to be good. I read Probabilistic Graphical Models by Koller and Friedman but didn’t like it much, but I liked Causality, so maybe we’ll be reversed and it’s your jam.
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Can someone recommend me a textbook on causal inference?
I read the first ~120 pages of Causality by Pearl, and I think it’s not the right book for me. The biggest two problems were the lack of exercises, and the long historical degressions. I also had difficulties wrapping my head around the big picture, even when understanding the low-level concepts (I don’t think I could implement a full stack for causal inference, even with the book, although I could probably implement the IC* algorithm).
I am still looking for something that’s formal, and will probably try chapter 16 of “All of Statistics” by Wassermann.
Did you check out his more recent primer? I think it’s better on exercises, tho I don’t think it’s fully there yet.
That does look more concise and to the point, thank you.
This comment says ‘user has been banned for this post’ which is super confusing to me
Sorry, I was making a meta joke about “Causality” and Pearl being super revered here, and rejecting the book being nearly heresy. Should I remove it?
I definitely didn’t get the joke, but if you have this meta commentary here now I think it’s fine though.
Nah, does indeed seem kinda funny.
Elements of Causal Inference by Peters is supposed to be good. I read Probabilistic Graphical Models by Koller and Friedman but didn’t like it much, but I liked Causality, so maybe we’ll be reversed and it’s your jam.