Statistical dependence, counterfactuals, causation. Probabilistic prediction (selecting a sub-ensemble) vs. causal prediction (generating a new ensemble). Graphical causal models, structural equation models. The causal Markov property. Faithfulness. Counterfactual prediction by "surgery" on causal graphical models. The d-separation criterion. Path diagram rules.
Posted at April 21, 2011 12:02 | permanent link