Integrating Expert Knowledge with Data in Bayesian Networks: Preserving Data-Driven Expectations when the Expert Variables Remain Unobserved

When developing a causal probabilistic model, i.e. a Bayesian network (BN), it is common to incorporate expert knowledge of factors that are important for decision analysis but where historical data are unavailable or difficult to obtain. This paper focuses on the problem whereby the distribution of...

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Detalles Bibliográficos
Autores principales: Constantinou, Anthony Costa, Fenton, Norman, Neil, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4930146/
https://www.ncbi.nlm.nih.gov/pubmed/27378822
http://dx.doi.org/10.1016/j.eswa.2016.02.050

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4930146/
https://www.ncbi.nlm.nih.gov/pubmed/27378822
http://dx.doi.org/10.1016/j.eswa.2016.02.050

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