Cognitive Systems Laboratory:

Publications Related To Causality

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``The New Challenge: From a Century of Statistics to the Age of Causation''
Technical Report (R-249)
J. Pearl
In Computing Science and Statistics, 29(2), 415--423, 1997.
``Causal Diagrams for Empirical Research,''
Technical Report (R-218-B)
J. Pearl
In Biometrika, Vol. 82, No. 4, 669-709, December 1995.
``On the Identification of Nonparametric Structural Models''
Technical Report (R-207), Revision IV
J. Pearl
UCLA Cognitive Systems Laboratory, Technical Report R-207, November 1995.
In M. Berkane (Ed.), Latent Variable Modeling with Application to Causality Conference, Springer-Verlag, Lecture Notes in Statistics, 29--68, 1997.
``Causal Inference from Indirect Experiments''
Technical Report (R-203-L)
J. Pearl
In Symposium Notes of the 1994 AAAI Spring Symposium on Artificial Intelligence in Medicine, Stanford, CA, March 1994.
Extended version in Artificial Intelligence in Medicine Journal, Vol. 7, No. 6, 561-582, 1995.
``Counterfactuals and Policy Analysis in Structural Models''
Technical Report (R-232-U)
A. Balke and J. Pearl
In P. Besnard and S. Hanks (Eds.), Uncertainty in Artificial Intelligence 11, Morgan Kaufmann, San Francisco, CA, 11-18, 1995.
``An Axiomatic Characterization of Causal Counterfactuals''
Technical Report (R-250)
D. Galles and J. Pearl
Prepared for Foundations of Science, Kluwer Academic Publishers.
``Graphs, Causality, and Structural Equation Models''
Technical Report (R-253)
J. Pearl
To appear in Socioligical Methods and Research, Special Issue on Causality.
``Why There Is No Statistical Test For Confounding, Why Many Thing There Is, And Why They Are Almost Right''
Technical Report (R-256)
J. Pearl
``Causal Inference in the Health Sciences: A Conceptual Introduction''
Technical Report (R-282)
J. Pearl

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UCLA Computer Science Department
4532 Boelter Hall
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(310) 825-3243