Bayesian causal discovery for policy decision making

This paper demonstrates how learning the structure of a Bayesian network, often used to predict and represent causal pathways, can be used to inform policy decision-making.

Bibliographic Details
Published in:Data & Policy
Main Authors: Catarina Moreira, Ngoc Lan Chi Nguyen, Gilad Francis, Hadi Mohasel Afshar, Anna Lopatnikova, Sally Cripps, Roman Marchant
Format: Article
Language:English
Published: Cambridge University Press 2025-01-01
Subjects:
Bayesian networks
causal discovery
causal effect estimation
Online Access:https://www.cambridge.org/core/product/identifier/S2632324924000932/type/journal_article

Internet

https://www.cambridge.org/core/product/identifier/S2632324924000932/type/journal_article

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