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Learning-based importance sampling via stochastic optimal control for stochastic reaction networks
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In
Statistics and computing 33(3), Seiten/Artikel-Nr.:58
2023
Online
DOI: 10.18154/RWTH-2023-03979
DOI: 10.1007/s11222-023-10222-6
URL: https://publications.rwth-aachen.de/record/956193/files/956193.pdf
Einrichtungen
Projekte
Thematische Einordnung (Klassifikation)
DDC: 620
OpenAccess: 
PDF
Dokumenttyp
Journal Article
Format
online, print
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85151371566
WOS Core Collection: WOS:001010964100007
OpenAlex: W4361212142
Interne Identnummern
RWTH-2023-03979
Datensatz-ID: 956193
Beteiligte Länder
Germany, Saudi Arabia, UK
Related:
Poster
Learning-Based Importance Sampling via Stochastic Optimal Control for Stochastic Reaction Networks
Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2023, SNSL 2023, ThuwalThuwal, Saudi Arabia,
KAUST (2023)
Files Homepage of event
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RIS
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; Clarivate Analytics Master Journal List ; Clarivate Analytics Master Journal List ; DEAL Springer ; DEAL Springer ; Essential Science Indicators ; Essential Science Indicators ; IF < 5 ; JCR ; Nationallizenz
; Nationallizenz ; SCOPUS ; SCOPUS ; Science Citation Index Expanded ; Science Citation Index Expanded ; Web of Science Core Collection ; Web of Science Core Collection
| Typ | Amount | VAT | Currency | Share | Status | Cost centre |
| Hybrid-OA | 1528.55 | 0.00 | EUR | 100.00 % | (DEAL) | |
| Sum | 1528.55 | 0.00 | EUR | |||
| Total | 1528.55 |
PDF