Do you mean this? Pearl and Velma, “A theory of inferred causation” As far as I can see the definitions are very similar, but Pearl’s “algorithm” requires complete knowledge of the complete distribution, while Shalizi’s reconstruction approach works from samples.
Thanks for the thesis link. That looks to be an interesting read and should be quite informative about pattern recognition, entropy, and complexity.
Some of you may remember a previous discussion of Shalizi here in which he was criticized for his position on thermodynamics. (Scroll to the bottom.)
By the way, I thought Pearl gave algorithms for identifying causal structure in Causality or Probabilistic Reasoning. Are they not effective enough?
Probabilistic Reasoning Intelligent Systems
Chpt 8, Learning structure from data
8.2 presents algorithms for learning tree-shaped networks only.
8.3 discusses how to learn tree-shaped networks using hidden independent variables
Do you mean this? Pearl and Velma, “A theory of inferred causation” As far as I can see the definitions are very similar, but Pearl’s “algorithm” requires complete knowledge of the complete distribution, while Shalizi’s reconstruction approach works from samples.