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Causation and decision: On Dawid’s “Decision theoretic foundation of statistical causality”

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  • Pearl Judea

    (Department of Computer Science, University of California, Los Angeles, CA 90095, United States)

Abstract

In a recent issue of this journal, Philip Dawid (2021) proposes a framework for causal inference that is based on statistical decision theory and that is, in many aspects, compatible with the familiar framework of causal graphs (e.g., Directed Acyclic Graphs (DAGs)). This editorial compares the methodological features of the two frameworks as well as their epistemological basis.

Suggested Citation

  • Pearl Judea, 2022. "Causation and decision: On Dawid’s “Decision theoretic foundation of statistical causality”," Journal of Causal Inference, De Gruyter, vol. 10(1), pages 221-226, January.
    • Handle: RePEc:bpj:causin:v:10:y:2022:i:1:p:221-226:n:3
    DOI: 10.1515/jci-2022-0046
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    References listed on IDEAS

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    1. Pearl, Judea, 2015. "Trygve Haavelmo And The Emergence Of Causal Calculus," Econometric Theory, Cambridge University Press, vol. 31(1), pages 152-179, February.
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