Homogeneity, selection, and the faithfulness condition

Minds and Machines 16 (3):303-317 (2006)
Abstract
The faithfulness condition (FC) is a useful principle for inferring causal structure from statistical data. The usual motivation for the FC appeals to theorems showing that exceptions to it have probability zero, provided that some apparently reasonable assumptions obtain. However, some have objected that, the theorems notwithstanding, exceptions to the FC are probable in commonly occurring circumstances. I argue that exceptions to the FC are probable in the circumstances specified by this objection only given the presence of a condition that I label homogeneity, and furthermore that this condition typically does not obtain in the FC’s intended domain of application.
Keywords Causal inference  Directed acyclic graphs  Faithfulness condition
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DOI 10.1007/s11023-006-9032-4
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References found in this work BETA
Causality: Models, Reasoning, and Inference.Judea Pearl - 2000 - Cambridge University Press.
Causation, Prediction, and Search.Peter Spirtes, Clark Glymour & Richard Scheines - 1996 - British Journal for the Philosophy of Science 47 (1):113-123.
Causality in Macroeconomics.Kevin D. Hoover - 2001 - Cambridge University Press.
Indeterminism and the Causal Markov Condition.Daniel Steel - 2005 - British Journal for the Philosophy of Science 56 (1):3-26.

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Citations of this work BETA
The Three Faces of Faithfulness.Jiji Zhang & Peter Spirtes - 2016 - Synthese 193 (4):1011-1027.

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