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Computational Efficient Approximations of the Concordance Probability in a Big Data Setting

 
dc.contributor.authorVan Oirbeek, Robin
dc.contributor.authorPonnet, Jolien
dc.contributor.authorBaesens, Bart
dc.contributor.authorVerdonck, Tim
dc.contributor.imecauthorVerdonck, Tim
dc.contributor.orcidimecVerdonck, Tim::0000-0003-1105-2028
dc.date.accessioned2024-12-09T10:35:31Z
dc.date.available2023-06-19T20:36:49Z
dc.date.available2024-12-09T10:35:31Z
dc.date.issued2024
dc.description.wosFundingTextThis work was supported by the Allianz Research Chair Prescriptive business analytics in insurance at KU Leuven and the International Funds KU Leuven under Grant C16/15/068.
dc.identifier.doi10.1089/big.2022.0107
dc.identifier.issn2167-6461
dc.identifier.pmidMEDLINE:37289184
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/41759
dc.publisherMARY ANN LIEBERT, INC
dc.source.beginpage243
dc.source.endpage268
dc.source.issue3
dc.source.journalBIG DATA
dc.source.numberofpages26
dc.source.volume12
dc.subject.keywordsSURVIVAL ANALYSIS
dc.subject.keywordsPREDICTION
dc.title

Computational Efficient Approximations of the Concordance Probability in a Big Data Setting

dc.typeJournal article
dspace.entity.typePublication
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