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1 Ergebnisse
1
Towards Improved Uncertainty Quantification of Stochastic E..:
, In:
2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
,
Fadikar, Arindam
;
Stevens, Abby
;
Collier, Nicholson
... - p. 843-852 , 2024
Link:
https://doi.org/10.1109/IPDPSW63119.2024.00151
RT T1 <cTitle>2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)</cTitle>: T1 <Title>Towards Improved Uncertainty Quantification of Stochastic Epidemic Models Using Sequential Monte Carlo</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10596408&Exemplar=1&LAN=DE A1 Fadikar, Arindam A1 Stevens, Abby A1 Collier, Nicholson A1 Toh, Kok Ben A1 Morozova, Olga A1 Hotton, Anna A1 Clark, Jared A1 Higdon, David A1 Ozik, Jonathan YR 2024 K1 Epidemics K1 Monte Carlo methods K1 Uncertainty K1 Parameter estimation K1 Computational modeling K1 Stochastic processes K1 Real-time systems K1 sequential Monte-Carlo K1 computational epidemiology K1 uncertainty quantification SP 843 OP 852 LK http://dx.doi.org/https://doi.org/10.1109/IPDPSW63119.2024.00151 DO https://doi.org/10.1109/IPDPSW63119.2024.00151 SF ELIB - SuUB Bremen
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