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Scientific congresses, symposiums and conference proceedings : Unpublished conference | |||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 ![]() | |
Nijzink, Remko [Luxembourg Institute of Science and Technology (LIST), Belvaux, Luxembourg > Catchment and Ecohydrology Group (CAT), Environmental Research and Innovation (ERIN)] | |
Ley, Christophe ![]() | |
Schymanski, Stanislaus ![]() | |
Hale, Jack ![]() | |
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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