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.

To view the slides of my tutorial at the Joint Statistical Meetings (JSM-16), Chicago, IL, August 1, 2016, click [ppt] or [pdf].

Tutorial (December, 2013), "Causes and Counterfactuals: Concepts, Principles and Tools," click here.

Lecture (April, 2013), "The Mathematics of Causal Inference: With Reflections on Machine Learning," click here.

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

For a video on causes and counterfactuals (2010), 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