Selecting a conceptual hydrological model using Bayes' factors computed with replica-exchange Hamiltonian Monte Carlo and thermodynamic integration
<p>We develop a method for computing Bayes' factors of conceptual rainfall–runoff models based on thermodynamic integration, gradient-based replica-exchange Markov chain Monte Carlo algorithms and modern differentiable programming languages. We apply our approach to the problem of choosin...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-03-01
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| Series: | Geoscientific Model Development |
| Online Access: | https://gmd.copernicus.org/articles/18/1709/2025/gmd-18-1709-2025.pdf |
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