Thanks, Jon. I gave a Friam Colloquium at SFI on the topic back in the day. Unless you have background knowledge, which you usually do, you can't decide which of two correlated variables causes the other. But if you have a set of variables as you usually do in social science and medicine you can use the Causal Markov Condition and the concept of Faithfulness to infer an equivalence class of causal digraphs which will frequently share a set of causal edges.
I will look for a good tutorial on the subject and mail a link to Friam. --- Frank C. Wimberly 140 Calle Ojo Feliz, Santa Fe, NM 87505 505 670-9918 Santa Fe, NM On Thu, Jul 9, 2020, 11:34 AM Jon Zingale <[email protected]> wrote: > Frank, > > Would you say more about the work? What sort of framework is used to speak > about the relation between correlation and causation? > > > > -- > Sent from: http://friam.471366.n2.nabble.com/ > > - .... . -..-. . -. -.. -..-. .. ... -..-. .... . .-. . > FRIAM Applied Complexity Group listserv > Zoom Fridays 9:30a-12p Mtn GMT-6 bit.ly/virtualfriam > un/subscribe http://redfish.com/mailman/listinfo/friam_redfish.com > archives: http://friam.471366.n2.nabble.com/ > FRIAM-COMIC http://friam-comic.blogspot.com/ >
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