UCLA Statistical Series

Publications related to Statistics:

(Don't forget to sign our GUESTBOOK!)
``A Statistical Semantics for Causation''
Technical Report (R-155)
J. Pearl and T.S. Verma
Statistics and Computing, 2, Chapman and Hall, 91-95, 1992.
``Qualitative Probabilities for Default Reasoning, Belief Revision, and Causal Modeling''
Technical Report (R-161-L)
M. Goldszmidt and J. Pearl
To appear in Artificial Intelligence.
``Belief Networks Revisited''
Technical Report (R-175)
J. Pearl
Artificial Intelligence, 59, 49-56, 1993.
``An Algorithm for Deciding if a Set of Observed Independencies has a Causal Explanation''
Technical Report (R-177)
T.S. Verma and J. Pearl
In Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence (UAI-92), Morgan Kaufmann, San Mateo, CA, 323-330, July 1992.
``When Can Association Graphs Admit A Causal Explanation?''
Technical Report (R-183)
J. Pearl and N. Wermuth
In Proceedings of the Fourth International Workshop on Artificial Intelligence and Statistics, 141-150, January 1993.
In P. Cheeseman and W. Oldford (Eds.), Selecting Models and Data, Artificial Intelligence and Statistics IV, Springer-Verlag, 205-214, 1994.
``Graphical Models, Causality, and Intervention''
[comments on: `Linear Dependencies Represented by Chain Graphics' by D. Cox and N. Wermuth, and `Bayesian Analysis in Expert Systems' by D.J. Spiegelhalter, A.P. Dawid, S.L. Lauritzen, and R.G. Cowell],
Technical Report (R-195-SS)
J. Pearl
Statistical Science, Vol. 8, 266-269, 1993.
``Nonparametric Bounds on Causal Effects from Partial Compliance Data''
Technical Report (R-199)
A. Balke and J. Pearl
UCLA Cognitive Systems Laboratory, September 1994, submitted to JASA.
``Universal Formulas for Treatment Effects from Noncompliance Data''
Technical Report (R-199-A)
A. Balke and J. Pearl
In N.P. Jewell, A.C. Kimber, M.-L. Lee, and G.A. Whitmore (Eds.), Lifetime Data: Models in Reliability and Survival Analysis, Kluwer Academic Publishers, Dordrecht, 39-43, 1995.
``On the Statistical Interpretation of Structural Equations''
Technical Report (R-200)
J. Pearl
UCLA Cognitive Systems Laboratory, July 1993.
``Causal Inference from Indirect Experiments''
Technical Report (R-203-L)
J. Pearl
Artificial Intelligence in Medicine Journal, Vol. 7, No. 6, 561-582, 1995.
``On the Identification of Nonparametric Structural Models''
Technical Report (R-207), Revision IV
J. Pearl
UCLA Cognitive Systems Laboratory, November 1995.
To appear in Latent Variable Modelling with Application to Causality, Lecture Notes Series, Springer Verlag.
``Mediating Instrumental Variables''
Technical Report (R-210)
J. Pearl
UCLA Cognitive Systems Laboratory, December 1993.
``On the Testability of Causal Models with Latent and Instrumental Variables''
Technical Report (R-211-U)
J. Pearl
In P. Besnard and S. Hanks (Eds.), Uncertainty in Artificial Intelligence 11, Morgan Kaufmann, San Francisco, CA, 435-443, 1995.
``A Probabilistic Calculus of Actions''
Technical Report (R-212)
J. Pearl
In R. Lopez de Mantaras and D. Poole (Eds.), Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (UAI-94), Morgan Kaufman, San Mateo, CA, 454-462, 1994.
``Counterfactual Probabilities: Computational Methods, Bounds, & Applications''
Technical Report (R-213-B)
A. Balke and J. Pearl
In R. Lopez de Mantaras and D. Poole (Eds.), Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI-94), Morgan Kaufmann, San Mateo, CA, 46-54, July 29-31, 1994.
``Bayesian Networks''
Technical Report (R-216), Revision I
J. Pearl
In M. Arbib (Ed.), Handbook of Brain Theory and Neural Networks, MIT Press, 149-153, 1995.
``Three Statistical Puzzles''
Technical Report (R-217), Revision I
J. Pearl
UCLA Cognitive Systems Laboratory, May 1994.
``Causal Diagrams for Empirical Research,''
Technical Report (R-218-B)
J. Pearl
Biometrika, Vol. 82, No. 4, 669-710, December 1995.
``Causal diagrams for empirical research,''
Technical Report (R-218-B-L)
J. Pearl
UCLA Cognitive Systems Laboratory, January 1996.
Expanded version of a paper in Biometrika, 1995 (R-218-B).
``Probabilistic Evaluation of Sequential Plans from Causal Models with Hidden Variables''
Technical Report (R-219-U)
J. Pearl and James Robins
In P. Besnard and S. Hanks (Eds.), Uncertainty in Artificial Intelligence 11, Morgan Kaufmann, San Francisco, CA, 444-453, 1995.
``Testing Identifiability of Causal Effects,''
Technical Report (R-226-U)
D. Galles and J. Pearl
In P. Besnard and S. Hanks (Eds.), Uncertainty in Artificial Intelligence 11, Morgan Kaufmann, San Francisco, CA, 185-195, 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.
``Structural and Probabilistic Causality"
Technical Report (R-237)
J. Pearl
To appear in D.R. Shanks, K.J. Holyoak, and D.L. Medin (Eds.), The Psychology of Learning and Motivation, Vol. 34: Causal Learning Academic Press, San Diego, CA 1996.
Return to Judea Pearl's Statistics HomePage
REPORT REQUESTS are to be directed to:

Prof. Judea Pearl (judea@cs.ucla.edu)
UCLA Computer Science Department
4532 Boelter Hall
Los Angeles, California 90024-1596
(310) 825-3243