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  2. School of Engineering
  3. Publikationen
  4. Publikationen School of Engineering
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dc.contributor.authorGrize, Yves-Laurent-
dc.contributor.authorFischer, Wolfram-
dc.contributor.authorLützelschwab, Christian-
dc.date.accessioned2020-10-01T14:53:37Z-
dc.date.available2020-10-01T14:53:37Z-
dc.date.issued2020-
dc.identifier.issn1524-1904de_CH
dc.identifier.issn1526-4025de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/20551-
dc.description.abstractWe are much grateful to the editors for having organized a discussion of our paper. Our thanks also go to our distinguished discussants for their insightful contributions and the provided additional references. In our rejoinder, we first discuss the topic of interpretability, then briefly review the applications of machine learning (ML) to non-life insurance, and finally select a few stimulating remarks made by the discussants for further comments.de_CH
dc.language.isoende_CH
dc.publisherWileyde_CH
dc.relation.ispartofApplied Stochastic Models in Business and Industryde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subject.ddc004: Informatikde_CH
dc.subject.ddc332.38: Versicherungende_CH
dc.titleMachine learning applications in non‐life insurance : discussion rejoinderde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Datenanalyse und Prozessdesign (IDP)de_CH
dc.identifier.doi10.1002/asmb.2564de_CH
zhaw.funding.euNode_CH
zhaw.issue4de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end547de_CH
zhaw.pages.start545de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume36de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedFinTechde_CH
zhaw.webfeedIndustrie 4.0de_CH
zhaw.webfeedPredictive Analyticsde_CH
zhaw.webfeedStatistik und Quantitative Financede_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Grize, Y.-L., Fischer, W., & Lützelschwab, C. (2020). Machine learning applications in non‐life insurance : discussion rejoinder. Applied Stochastic Models in Business and Industry, 36(4), 545–547. https://doi.org/10.1002/asmb.2564
Grize, Y.-L., Fischer, W. and Lützelschwab, C. (2020) ‘Machine learning applications in non‐life insurance : discussion rejoinder’, Applied Stochastic Models in Business and Industry, 36(4), pp. 545–547. Available at: https://doi.org/10.1002/asmb.2564.
Y.-L. Grize, W. Fischer, and C. Lützelschwab, “Machine learning applications in non‐life insurance : discussion rejoinder,” Applied Stochastic Models in Business and Industry, vol. 36, no. 4, pp. 545–547, 2020, doi: 10.1002/asmb.2564.
GRIZE, Yves-Laurent, Wolfram FISCHER und Christian LÜTZELSCHWAB, 2020. Machine learning applications in non‐life insurance : discussion rejoinder. Applied Stochastic Models in Business and Industry. 2020. Bd. 36, Nr. 4, S. 545–547. DOI 10.1002/asmb.2564
Grize, Yves-Laurent, Wolfram Fischer, and Christian Lützelschwab. 2020. “Machine Learning Applications in Non‐Life Insurance : Discussion Rejoinder.” Applied Stochastic Models in Business and Industry 36 (4): 545–47. https://doi.org/10.1002/asmb.2564.
Grize, Yves-Laurent, et al. “Machine Learning Applications in Non‐Life Insurance : Discussion Rejoinder.” Applied Stochastic Models in Business and Industry, vol. 36, no. 4, 2020, pp. 545–47, https://doi.org/10.1002/asmb.2564.


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