JUDEA PEARL - HOME

Welcome to my homepage.

To view my commencement speech at the University of Toronto June 21, 2007, click here. For transcript, click here.

To view my slides from the Joint Statistical Meetings (JSM-07) held in Salt Lake City, Utah, click here.

For a gentle introduction to my current research on causality, [click 1 or 2].

1. Transcript and slides of 1996 Faculty Research Lecture: The Art and Science of Cause and Effect  

1. Transcript and slides of 1999 IJCAI Award Lecture: Reasoning with Cause and Effect

For a recent video on the state of causality in economics click here.

Causality blog

Technical material supporting the story in 1-2, can be found [postscript] or [pdf] in:

  • (R-299):    [pdf]  
    J. Pearl, "Statistics and Causal Inference: A Review,"  Test Journal,  12(2):281--345, December 2003 (with discussions).
  • (R-264):   [postscript] [pdf]
    J. Pearl, ``Simpson's paradox: An anatomy''  Extracted from Chapter 6 of CAUSALITY.
  • (R-218-B):    [postscript] [pdf] 
    J. Pearl, "Causal Diagrams for Empirical Research" Biometrika, 82(4), 669--710, December 1995.

3. Key publications related to causality

  • (R-321):  [pdf]  
    C. Avin, I. Shpitser, J. Pearl, "Identifiability of Path-Specific Eff ects"  UCLA Cognitive Systems Laboratory, Technical Report (R-321), June 2005. In Proceedings of International Joint Conference on Artificial Intelligen ce, Edinburgh, Scotland, August 2005.
    Extended version available (R-321-L).
  • (R-320):  [postscript] [pdf]  
    J. Pearl, "Robustness of Causal Claims"  In Proceedings of the 20th Conference on Uncertainty in Artificial Intelligence, AUAI Press: Arlington, VA, 446-453, July 2004. 
  • (R-290):  [pdf]  
    J. Tian and J. Pearl, "A General Identification Condition for Causal Effects"  In Proceedings of the Eighteenth Conference on Artificial Intelligence, AAAI/The MIT Press: Menlo Park, 567-573, August 2002. 
  • (R-273-U):  [postscript] [pdf] 
    J. Pearl, "Direct and Indirect Effects"  In Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence, San Francisco, CA: Morgan Kaufmann, 411-420, 2001.
  • (R-266-Part1):  [pdf]
    J.Y. Halpern and J. Pearl, "Causes and explanations: A structural-model approach
    • -- Part I:  Causes"  In British Journal of Philosophy of Science,  56:843-887, 2005.  
  • (R-266-Part2):  [pdf]
    J.Y. Halpern and J. Pearl, "Causes and explanations: A structural-model approach
    • -- Part II: Explanations"    In British Journal of Philosophy of Science,  56:889-911, 2005.  
  • (R-269):  [postscript] [pdf]
    J. Pearl, "The logic of counterfactuals in causal inference (Discussion of `Causal inference without counterfactuals' by A.P. Dawid)," In Journal of American Statistical Association, Vol. 95, No. 450, 428--435, June 2000.
  • (R-271-A):   [postscript] [pdf]
    J. Tian and J. Pearl, "Probabilities of causation: Bounds and identification"  In Annals of Mathematics and Artificial Intelligence, Vol. 28, 287--313, 2000. 

4. Other publications