Optimal scaling of random walk Metropolis algorithms using Bayesian large-sample asymptotics
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1573-1375
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Optimal scaling of random walk Metropolis algorithms using Bayesian large-sample asymptotics ; volume:32 ; number:2 ; day:18 ; month:2 ; year:2022 ; pages:1-16 ; date:4.2022
Statistics and computing ; 32, Heft 2 (18.2.2022), 1-16, 4.2022
- Creator
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Schmon, Sebastian M.
Gagnon, Philippe
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s11222-022-10080-8
- URN
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urn:nbn:de:101:1-2022070320480432583732
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 15.08.2025, 7:20 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Schmon, Sebastian M.
- Gagnon, Philippe
- SpringerLink (Online service)