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.
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2025-01-01
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| Series: | Data & Policy |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2632324924000932/type/journal_article |
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| _version_ | 1849707412757413888 |
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| author | Catarina Moreira Ngoc Lan Chi Nguyen Gilad Francis Hadi Mohasel Afshar Anna Lopatnikova Sally Cripps Roman Marchant |
| author_facet | Catarina Moreira Ngoc Lan Chi Nguyen Gilad Francis Hadi Mohasel Afshar Anna Lopatnikova Sally Cripps Roman Marchant |
| author_sort | Catarina Moreira |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a79b2399ad054fed89f3c316ff486e4a |
| institution | DOAJ |
| issn | 2632-3249 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Data & Policy |
| spelling | doaj-art-a79b2399ad054fed89f3c316ff486e4a2025-08-20T03:15:55ZengCambridge University PressData & Policy2632-32492025-01-01710.1017/dap.2024.93Bayesian causal discovery for policy decision makingCatarina Moreira0https://orcid.org/0000-0002-8826-5163Ngoc Lan Chi Nguyen1https://orcid.org/0000-0003-4349-8024Gilad Francis2https://orcid.org/0000-0001-7910-8556Hadi Mohasel Afshar3Anna Lopatnikova4Sally Cripps5https://orcid.org/0000-0003-3207-172XRoman Marchant6https://orcid.org/0000-0002-0969-2352Human Technology Institute, University Technology Sydney, Ultimo, NSW, AustraliaSchool of Computer Science, The University of Sydney, Sydney, NSW, AustraliaHuman Technology Institute, University Technology Sydney, Ultimo, NSW, AustraliaHuman Technology Institute, University Technology Sydney, Ultimo, NSW, AustraliaHuman Technology Institute, University Technology Sydney, Ultimo, NSW, Australia Discipline of Business Analytics, The University of Sydney, Darlington, NSW, AustraliaHuman Technology Institute, University Technology Sydney, Ultimo, NSW, AustraliaHuman Technology Institute, University Technology Sydney, Ultimo, NSW, AustraliaThis 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.https://www.cambridge.org/core/product/identifier/S2632324924000932/type/journal_articleBayesian networkscausal discoverycausal effect estimation |
| spellingShingle | Catarina Moreira Ngoc Lan Chi Nguyen Gilad Francis Hadi Mohasel Afshar Anna Lopatnikova Sally Cripps Roman Marchant Bayesian causal discovery for policy decision making Data & Policy Bayesian networks causal discovery causal effect estimation |
| title | Bayesian causal discovery for policy decision making |
| title_full | Bayesian causal discovery for policy decision making |
| title_fullStr | Bayesian causal discovery for policy decision making |
| title_full_unstemmed | Bayesian causal discovery for policy decision making |
| title_short | Bayesian causal discovery for policy decision making |
| title_sort | bayesian causal discovery for policy decision making |
| topic | Bayesian networks causal discovery causal effect estimation |
| url | https://www.cambridge.org/core/product/identifier/S2632324924000932/type/journal_article |
| work_keys_str_mv | AT catarinamoreira bayesiancausaldiscoveryforpolicydecisionmaking AT ngoclanchinguyen bayesiancausaldiscoveryforpolicydecisionmaking AT giladfrancis bayesiancausaldiscoveryforpolicydecisionmaking AT hadimohaselafshar bayesiancausaldiscoveryforpolicydecisionmaking AT annalopatnikova bayesiancausaldiscoveryforpolicydecisionmaking AT sallycripps bayesiancausaldiscoveryforpolicydecisionmaking AT romanmarchant bayesiancausaldiscoveryforpolicydecisionmaking |