Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1573-1375
- 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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Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming ; volume:33 ; number:1 ; day:14 ; month:12 ; year:2022 ; pages:1-28 ; date:2.2023
Statistics and computing ; 33, Heft 1 (14.12.2022), 1-28, 2.2023
- Urheber
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s11222-022-10167-2
- URN
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urn:nbn:de:101:1-2023041609265624089490
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:57 MESZ
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Beteiligte
- Riutort-Mayol, Gabriel
- Bürkner, Paul-Christian
- Andersen, Michael R.
- Solin, Arno
- Vehtari, Aki
- SpringerLink (Online service)
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