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Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package

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dc.contributor.authorLeonelli, Manuele
dc.contributor.authorRamanathan, Ramsiya
dc.contributor.authorWilkerson, Rachel
dc.contributor.rorhttps://ror.org/02jjdwm75
dc.date.accessioned2025-03-06T10:18:58Z
dc.date.available2025-03-06T10:18:58Z
dc.date.issued2023-10-25
dc.description.abstractBayesian networks are a class of models that are widely used for the diagnosis, prediction, and risk assessment of complex operational systems. Multiple approaches, as well as implemented software, now guide their construction via learning from data or expert elicitation. However, current software only includes minimal functionalities to explore the assumptions, quality of fit, and sensitivity to learned parameters of a constructed Bayesian network. Here, we illustrate the usage of the bnmonitor R package: the first comprehensive software for model-checking of a Bayesian network. An applied data analysis using bnmonitor is carried out over a medical dataset to illustrate the use of its wide array of functions.
dc.description.peerreviewedyes
dc.description.statusPublished
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dc.identifier.citationLeonelli, M., Ramanathan, R., & Wilkerson, R. L. (2023). Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package. Knowledge-Based Systems, 278, 110882. https://doi.org/10.1016/j.knosys.2023.110882.
dc.identifier.doihttps://doi.org/10.1016/j.knosys.2023.110882
dc.identifier.issn0950-7051
dc.identifier.urihttps://hdl.handle.net/20.500.14417/3631
dc.journal.titleKnowledge-Based Systems
dc.language.isoen
dc.page.total13
dc.publisherElsevier
dc.relation.departmentComputer Science and AI
dc.relation.entityIE University
dc.relation.schoolIE School of Science & Technology
dc.rightsAttribution 4.0 International
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/deed
dc.subject.keywordBayesian networks
dc.subject.keywordModel-checking
dc.subject.keywordProbabilistic graphical models
dc.subject.keywordR package
dc.subject.keywordSensitivity analysis
dc.titleSensitivity and robustness analysis in Bayesian networks with the bnmonitor R package
dc.typeinfo:eu-repo/semantics/article
dc.version.typeinfo:eu-repo/semantics/publishedVersion
dc.volume.number278
dspace.entity.typePublication
relation.isAuthorOfPublicationbc86b9eb-18b3-4fab-bf14-ad6f5509312f
relation.isAuthorOfPublication.latestForDiscoverybc86b9eb-18b3-4fab-bf14-ad6f5509312f
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