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

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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.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
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)

Urheber
Pearl, Judea

DOI
10.1515/jci-2022-0046
URN
urn:nbn:de:101:1-2022091714081758228621
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
15.08.2025, 07:32 MESZ

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Beteiligte

  • Pearl, Judea

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