A non-parametric Bayesian approach to decompounding from high frequency data
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1572-9311
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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A non-parametric Bayesian approach to decompounding from high frequency data ; day:16 ; month:12 ; year:2016 ; pages:1-27
Statistical inference for stochastic processes ; (16.12.2016), 1-27
- Klassifikation
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Mathematik
- Urheber
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Gugushvili, Shota
- Beteiligte Personen und Organisationen
- DOI
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10.1007/s11203-016-9153-1
- URN
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urn:nbn:de:1111-201701168967
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:48 MESZ
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Beteiligte
- Gugushvili, Shota
- Meulen, Frank van der
- Spreij, Peter
- SpringerLink (Online service)
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