- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2190-9741
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Efficient use of data for LSTM mortality forecasting ; day:2 ; month:4 ; year:2022 ; pages:1-30
European actuarial journal / Deutsche Gesellschaft für Versicherungs- und Finanzmathematik ; (2.4.2022), 1-30
- Klassifikation
-
Wirtschaft
- Urheber
-
Lindholm, M.
Palmborg, L.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s13385-022-00307-3
- URN
-
urn:nbn:de:101:1-2022062120125728677955
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:40 MESZ
Datenpartner
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Beteiligte
- Lindholm, M.
- Palmborg, L.
- SpringerLink (Online service)
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