검색어 : 통합검색[Pearl Judea.]
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- The recovery of causal poly-trees from statistical data - George Rebane and Judea Pearl Cognitive Systems Laboratory, Computer Science Department, University of California, Los Angeles, California 90024
- ; ; (International journal of approximate reasoning : official publication of the North American Fuzzy Information Processing Society, v.2, 1988, pp.341)
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- Restoring Causal Analysis to Structural Equation ModelingReview of<b>Causality: Models, Reasoning, and Inference</b>(2nd Edition), by Judea Pearl : New York, NY: Cambridge University Press, 484 pp., $45.00.
- West, Stephen G.; Koch, Tobias; ; (Structural equation modeling : a multidisciplinary journal, v.21, 2014, pp.161-166)
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- The new science of cause and effect, with reflections on data science and artificial intelligence
- Pearl, Judea; University of California,Departments of Computer Science and Statistics,Los Angeles,USA; (Big Data (Big Data), 2019 IEEE International Conference on, v.2019, 2019, pp.4-4)
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- <i>Review of Causal Inference in Statistics: A Primer</i>, by Judea Pearl, Madelyn Glymour, and Nicholas P. Jewell : Chichester, UK: Wiley, 2016, 160 pp., $45.00 (paperback); $36.99 (e-book).
- Markus, Keith A.; John Jay College of Criminal Justice of the City University of New York; (Structural equation modeling : a multidisciplinary journal, v.24, 2017, pp.636-642)
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- Structuring causal tree models with continuous variables - Lei Xu Department of Automation, Tsinghua University, Beijing, China Judea Pearl Cognitive Systems Laboratory, Computer Science Department, UCLA, Los Angeles, California 90024-1600
- ; ; (International journal of approximate reasoning : official publication of the North American Fuzzy Information Processing Society, v.2, 1988, pp.346)
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- The Book of Why: The New Science of Cause and Effect : Judea Pearl and Dana Mackenzie. New York: Basic Books, 2018, x + 418 pp., $32.00(H), ISBN: 978-0-46-509760-9.
- Aronow, Peter M.; Sä vje, Fredrik; Yale University, New Haven, CT; Yale University, New Haven, CT; (Journal of the American Statistical Association, v.115, 2020, pp.482-485)
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- Comment on ‘Causal inference, probability theory, and graphical insights’ by Stuart G. Baker
- Pearl, Judea; ; (Statistics in medicine, v.32, 2013, pp.4331-4333)
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- Bias and Causation, Models and Judgment for Valid Comparisons by WEISBERG, H. I.
- Pearl, Judea; ; (Biometrics, v.68, 2012, pp.659-660)
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- Graphical models, potential outcomes and causal inference: Comment on Linquist and Sobel
- Pearl, Judea; ; (NeuroImage, v.58, 2011, pp.770-771)
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- Discussion on “Surrogate Measures and Consistent Surrogates”
- Pearl, Judea; ; (Biometrics, v.69, 2013, pp.573-577)
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