selylindi comments on Causal Diagrams and Causal Models - Less Wrong

61 Post author: Eliezer_Yudkowsky 12 October 2012 09:49PM

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Comment author: selylindi 12 October 2012 06:27:53PM *  0 points [-]

Studies can always have confounding factors, of course. And I wrote "falsification" but could have more accurately said something about reducing the posterior probability. Lack of correlation (e.g. with speed) would sharply reduce the p.p. of a simple model with one input (e.g. gas pedal), but only reduce the p.p. of a model with multiple inputs (e.g. gas pedal + hilly terrain) to a weaker extent.

Comment author: IlyaShpitser 12 October 2012 09:04:42PM 1 point [-]

By the way, you can still learn structure from data in the presence of unobserved confounders. The problem becomes very interesting indeed, then.

Comment author: selylindi 15 October 2012 02:19:28AM 0 points [-]

Oh, awesome. Can you provide a link / reference / name of what I should Google?

Comment author: IlyaShpitser 15 October 2012 03:38:34AM *  3 points [-]