Reference : Using Bayes factors to compare dynamical models of hydrological systems
Scientific congresses, symposiums and conference proceedings : Unpublished conference
Life sciences : Environmental sciences & ecology
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
Physical, chemical, mathematical & earth Sciences : Mathematics
Engineering, computing & technology : Computer science
Computational Sciences; Sustainable Development
http://hdl.handle.net/10993/51573
Using Bayes factors to compare dynamical models of hydrological systems
English
Mingo Ndiwago, Damian mailto [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 mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Mathematics (DMATH) >]
Schymanski, Stanislaus mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > >]
Hale, Jack mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
5-Jun-2022
1
No
Yes
International
5th International Conference on Econometrics and Statistics (EcoSta 2022)
4-6 June 2022
Co-organized by the Working Group on Computational and Methodological Statistics (CMStatistics), the network of Computational and Financial Econometrics (CFENetwork), and the Ryukoku University.
Kyoto
Japan
[en] Bayes factor ; Thermodynamic integration ; , Rainfall-runoff models ; Hydrology
Fonds National de la Recherche - FnR
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/51573
FnR ; FNR12252781 > Andreas Zilian > DRIVEN > Data-driven Computational Modelling And Applications > 01/09/2018 > 28/02/2025 > 2017

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