Thomas Lumley • 7/6/2013

Problems with faithfulness and the causal Markov property (II)

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The article examines philosophical and technical problems with the causal Markov property and faithfulness condition in causal inference. It argues that the level of explanation at which causal graph assumptions hold may not align with the level of measurable variables like 'poverty' or 'dietary fat', leading to violations of simple causal relations. The discussion draws from philosophy of science and statistical modeling.

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#Statistical Modeling #Causal Inference #Causal Graphs
Problems with faithfulness and the causal Markov property (II)

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