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Scalable Method for Bayesian Experimental Design without Integrating over Posterior Distribution

; ; ;

In
SIAM ASA journal on uncertainty quantification 13(1), Seiten/Artikel-Nr.:114-139

ImpressumPhiladelphia, Pa. : SIAM

ISSN2166-2525

Online
DOI: 10.1137/23M1603364


Einrichtungen

  1. Lehrstuhl für Mathematics for Uncertainty Quantification (118110)
  2. Fachgruppe Mathematik (110000)


Thematische Einordnung (Klassifikation)
DDC: 510


Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85217693546
WOS Core Collection: WOS:001450056300005

Interne Identnummern
RWTH-2025-04440
Datensatz-ID: 1010928

Beteiligte Länder
Germany, Saudi Arabia, UK

 GO

Medline ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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The record appears in these collections:
Document types > Articles > Journal Articles
Faculty of Mathematics, Computer Science and Natural Sciences (Fac.1) > Department of Mathematics
Public records
Publications database
110000
118110
 Record created 2025-05-06, last modified 2025-07-30
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