Micro-level prediction of outstanding claim counts based on novel mixture models and neural networks

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2190-9741

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Micro-level prediction of outstanding claim counts based on novel mixture models and neural networks ; day:12 ; month:5 ; year:2022 ; pages:1-36
European actuarial journal / Deutsche Gesellschaft für Versicherungs- und Finanzmathematik ; (12.5.2022), 1-36

Creator: Bücher, Axel
Rosenstock, Alexander

Contributor: SpringerLink (Online service)

DOI: 10.1007/s13385-022-00314-4

URN: urn:nbn:de:101:1-2022071722364063558484

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:25 AM CEST

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Bücher, Axel
Rosenstock, Alexander
SpringerLink (Online service)

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Micro-level prediction of outstanding claim counts based on novel mixture models and neural networks

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