This paper is remarkable not only because it correctly formalizes causation in linear models using DAGs, but also that it gives a method for connecting causal and observational quantities in a way that’s still in use today. (The method itself was proposed in 1923, I believe). Edit: apparently in 1920-21, with earliest known reference apparently dating back to 1918.
Using DAGs for causality certainly predates Pearl. Identifying “randomization on X” with “dividing by P(x | pa(x))” might be implicit in fairly old papers also. Again, this idea predates Pearl.
There’s always more to the story than one insightful book.
Good find, thanks. The handwritten equations are especially nice.
Ilya, it looks you’re the perfect person to write an introductory LW post about causal graphs. We don’t have any good intro to the topic showing why it is important and non-obvious (e.g. the smoking/tar/cancer example). I’m willing to read drafts, but given your credentials I think it’s not necessary :-)
Hi, you might want to consider this paper:
http://www.ssc.wisc.edu/soc/class/soc952/Wright/Wright_The%20Method%20of%20Path%20Coefficients.pdf
This paper is remarkable not only because it correctly formalizes causation in linear models using DAGs, but also that it gives a method for connecting causal and observational quantities in a way that’s still in use today. (The method itself was proposed in 1923, I believe). Edit: apparently in 1920-21, with earliest known reference apparently dating back to 1918.
Using DAGs for causality certainly predates Pearl. Identifying “randomization on X” with “dividing by P(x | pa(x))” might be implicit in fairly old papers also. Again, this idea predates Pearl.
There’s always more to the story than one insightful book.
Good find, thanks. The handwritten equations are especially nice.
Ilya, it looks you’re the perfect person to write an introductory LW post about causal graphs. We don’t have any good intro to the topic showing why it is important and non-obvious (e.g. the smoking/tar/cancer example). I’m willing to read drafts, but given your credentials I think it’s not necessary :-)