Do-calculus

Do-Calculus is a formal inference framework in causal graphical models that consists of a set of three rules enabling the transformation of interventional probability expressions involving the do-operator into observational probability expressions under specified conditions imposed by the structure of a directed acyclic graph.

34

Publications

2K

Citations

45

Authors

33

Institutions

Publications per year

2017–2026

13

Authors

45

  1. JP
    Judea Pearl

    University of California, Los Angeles, United States

    10 publications · 829 citations

    10

    h-index

  2. EB
    Elias Bareinboim

    Purdue University West Lafayette, United States

    9 publications · 625 citations

    9

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  3. IS
    Ilya Shpitser

    Johns Hopkins University, United States

    4 publications · 249 citations

    4

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  4. JD
    Juan D. Correa

    Purdue University West Lafayette, United States

    3 publications · 62 citations

    3

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  5. AH
    Antti Hyttinen

    University of Helsinki, Finland

    2 publications · 47 citations

    2

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1–5 of 45

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 251 citations

    6

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  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 5 publications · 112 citations

    5

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  3. eScholarship (California Digital Library)

    Repository · 2 publications · 182 citations

    2

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  4. Journal of Statistical Software

    JSS · 2 publications · 56 citations

    2

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  5. Modern Language Notes

    1 publications · 23 citations

    1

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1–5