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HOMEPUBLICATIONSBIOCAUSALITYPRIMERWHYDANIEL PEARL FOUNDATION

Welcome to my homepage.

Download Causality for iOS to play a puzzle game about manipulating time. 3 months free with 1-year plan. Download Now Best for customer support $39.99 for the first 12 months.

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

For discussions and disputations concerning controversial topics read the Causality Blog.

Causality Free Download

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

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].

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

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

Causality Download Free

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

Causality Download Free Online

  • (R-350): [pdf]
    J. Pearl, 'Causal inference in statistics: An overview,' Statistics Surveys, 3:96--146, 2009.
  • (R-264): [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.

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.
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