Selecting a conceptual hydrological model using Bayes' factors computed with replica-exchange Hamiltonian Monte Carlo and thermodynamic integration

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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Bibliographic Details
Main Authors: D. N. Mingo, R. Nijzink, C. Ley, J. S. Hale
Format: Article
Language:English
Published: Copernicus Publications 2025-03-01
Series:Geoscientific Model Development
Online Access:https://gmd.copernicus.org/articles/18/1709/2025/gmd-18-1709-2025.pdf
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