And here:
https://scholar.google.com/scholar?hl=en&as_sdt=0%2C48&q=Automated+Search+for+Causal+Relations%3A+Theory+and+Practice&btnG=
which is helpful because it shows 19 citations. Books aren't daunting. They're ossified and not (often) peer reviewed. The citations and references are WAY more interesting than the content.
On 8/25/20 12:29 PM, Russ Abbott wrote:
> It's available here <http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.359.5281&rep=rep1&type=pdf>.
>
>
> On Tue, Aug 25, 2020 at 12:13 PM Frank Wimberly <[hidden email] <mailto:[hidden email]>> wrote:
>
> https://www.academia.edu/keypass/cHFjczFFMmZHUDF4em04U0hXMkdDL1IyRmRKRmI4c3VYbWFHY2crL1NxOD0tLW1jS1RtUi9EU0oySmtEck9FeEJCWnc9PQ==--9fbb49188f8eb90cc24a1781a1c49671222e77dd/t/ewjc6-N3UnAUt-baBacR/resource/work/3135365/Automated_search_for_causal_relations_Theory_and_practice?email_work_card=title
>
> I hope the above link works for people who aren't Academia members.
>
> Multiple times I have mentioned the book "Causation, Prediction, and Search" by my colleagues Spirtes, Glymour, and Scheines. I understand that the prospect of reading a long book can be daunting. Glen, in particular, has expressed his preference for articles. I just skimmed the above paper and realized that it gives an excellent and complete overview of the book. One of the themes is "sometimes correlation is causation."
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