JUDEA PEARL - HOME

Welcome to my homepage.

To find out what I am up to, new submissions, working papers, adventures and introspections, click here.

For discussions and disputations concerning controvertial topics read the Causality Blog (http://www.mii.ucla.edu/causality/).

To watch a video of my Turing Award Lecture (click on the "ACM Turing Award Lecture Video").

To watch a video of my April 2013 lecture at Microsoft Research Machine Learning Summit 2013 ("The Mathematics of Causal Inference: with Reflections on Machine Learning"), click here.

To view the slides of my tutorial at the Joint Statistical Meetings (JSM-12), San Diego, CA, July 29, 2012, click [ppt] or [pdf].

For a recent video on causes and counterfactuals, click here.

For more recent videos (July, 2011), including a Lecture, a symposium, and an interview, click here.

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

Excerpts from the 2nd edition of Causality
(Cambridge University Press, 2009)

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

  • (R-350):    [pdf]  
    J. Pearl, "Causal inference in statistics: An overview,"  Statistics Surveys,  3:96--146, 2009.
  • (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-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