A Tutorial On Causal Inference
| Abstract | The goal of this tutorial is twofold: to provide a description of some basic causal inference problems, models, algorithms, and assumptions in enough detail to understand recent developments in these areas; and to compare and contrast these with machine learning problems, models, algorithms, and assumptions. | |||||||||
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Peter Spirtes & Richard Scheines (2004). Causal Inference of Ambiguous Manipulations. Philosophy of Science 71 (5):833-845.
C. Mayo-Wilson (forthcoming). The Limits of Piecemeal Causal Inference. British Journal for the Philosophy of Science.
Jiji Zhang & Peter Spirtes (2008). Detection of Unfaithfulness and Robust Causal Inference. Minds and Machines 18 (2).
Peter Spirtes (2005). Graphical Models, Causal Inference, and Econometric Models. Journal of Economic Methodology 12 (1):3-34.
David Danks (2005). Scientific Coherence and the Fusion of Experimental Results. British Journal for the Philosophy of Science 56 (4):791-807.
Steven Rappaport (1996). Inference to the Best Explanation: Is It Really Different From Mill's Methods? Philosophy of Science 63 (1):65-80.
Frederick S. Ellett Jr & David P. Ericson (1983). The Logic of Causal Methods in Social Science. Synthese 57 (1):67 - 82.
Frederick S. Ellett & David P. Ericson (1983). The Logic of Causal Methods in Social Science. Synthese 57 (1):67-82.
Carlo Penco (2009). Assertion and Inference. In Cristina Amoretti, Carlo Penco & Federico Pitto (eds.), Towards and Analytic Pragmatism. CEUR WS.
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