By the way, you can still learn structure from data in the presence of unobserved confounders. The problem becomes very interesting indeed, then.
Oh, awesome. Can you provide a link / reference / name of what I should Google?
http://www.hss.cmu.edu/philosophy/spirtes/n-oracle.ps
(FCI algorithm)
http://www.cs.huji.ac.il/~nir/Abstracts/Fr2.html
(structural EM)
http://www.stat.washington.edu/tsr/uai-causal-structure-learning-workshop/
(look for “parameter and structure learning in nested Markov models”)
By the way, you can still learn structure from data in the presence of unobserved confounders. The problem becomes very interesting indeed, then.
Oh, awesome. Can you provide a link / reference / name of what I should Google?
http://www.hss.cmu.edu/philosophy/spirtes/n-oracle.ps
(FCI algorithm)
http://www.cs.huji.ac.il/~nir/Abstracts/Fr2.html
(structural EM)
http://www.stat.washington.edu/tsr/uai-causal-structure-learning-workshop/
(look for “parameter and structure learning in nested Markov models”)