Articles | Volume 18, issue 5
https://doi.org/10.5194/gmd-18-1709-2025
https://doi.org/10.5194/gmd-18-1709-2025
Methods for assessment of models
 | 
12 Mar 2025
Methods for assessment of models |  | 12 Mar 2025

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

Damian N. Mingo, Remko Nijzink, Christophe Ley, and Jack S. Hale

Viewed

Total article views: 948 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
706 200 42 948 35 29
  • HTML: 706
  • PDF: 200
  • XML: 42
  • Total: 948
  • BibTeX: 35
  • EndNote: 29
Views and downloads (calculated since 08 Jan 2024)
Cumulative views and downloads (calculated since 08 Jan 2024)

Viewed (geographical distribution)

Total article views: 948 (including HTML, PDF, and XML) Thereof 934 with geography defined and 14 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 07 May 2025
Download
Short summary
Hydrologists are often faced with selecting amongst a set of competing models with different numbers of parameters and ability to fit available data. Bayes’ factor is a tool that can be used to compare models; however, it is very difficult to compute Bayes' factor numerically. In our paper, we explore and develop highly efficient algorithms for computing Bayes’ factor of hydrological systems, which will introduce this useful tool for selecting models into everyday hydrological practice.
Share