Unpublished conference/Abstract (Scientific congresses, symposiums and conference proceedings)
Using Bayes factors to compare dynamical models of hydrological systems
Mingo Ndiwago, Damian; Nijzink, Remko; Ley, Christophe et al.
20225th International Conference on Econometrics and Statistics (EcoSta 2022)
 

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Keywords :
Bayes factor; Thermodynamic integration; , Rainfall-runoff models; Hydrology
Disciplines :
Computer science
Mathematics
Earth sciences & physical geography
Environmental sciences & ecology
Author, co-author :
Mingo Ndiwago, Damian  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
Nijzink, Remko;  Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg > Catchment and Ecohydrology Group (CAT), Environmental Research and Innovation (ERIN)
Ley, Christophe ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Mathematics (DMATH)
Schymanski, Stanislaus ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC)
Hale, Jack  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
External co-authors :
yes
Language :
English
Title :
Using Bayes factors to compare dynamical models of hydrological systems
Publication date :
05 June 2022
Number of pages :
1
Event name :
5th International Conference on Econometrics and Statistics (EcoSta 2022)
Event organizer :
Co-organized by the Working Group on Computational and Methodological Statistics (CMStatistics), the network of Computational and Financial Econometrics (CFENetwork), and the Ryukoku University.
Event place :
Kyoto, Japan
Event date :
4-6 June 2022
By request :
Yes
Audience :
International
Focus Area :
Computational Sciences
Sustainable Development
FnR Project :
FNR12252781 - Data-driven Computational Modelling And Applications, 2017 (01/09/2018-28/02/2025) - Andreas Zilian
Funders :
FNR - Fonds National de la Recherche [LU]
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since 07 July 2022

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