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

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.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Causation and decision: On Dawid’s “Decision theoretic foundation of statistical causality” ; volume:10 ; number:1 ; year:2022 ; pages:221-226 ; extent:6 ; Journal of causal inference ; 10, Heft 1 (2022), 221-226 (gesamt 6)

Contributors, Places and Time

• Creator: Pearl, Judea

Further information

• DOI: 10.1515/jci-2022-0046
• URN: urn:nbn:de:101:1-2022091714081758228621
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:32 AM CEST