A Bayesian-variational cyclic method for solving estimation problems characterized by non-uniqueness (equifinality)-Reference-Cited by-同舟云学术

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A Bayesian-variational cyclic method for solving estimation problems characterized by non-uniqueness (equifinality)

Published:2023-09 Issue: Volume:488 Page:112239
ISSN:0021-9991
Container-title:Journal of Computational Physics
language:en
Short-container-title:Journal of Computational Physics

Author:

Gejadze I.,Shutyaev V.,Oubanas H.,Malaterre P.-O.

Funder

Centre National d’Etudes Spatiales

Russian Science Foundation

Publisher

Elsevier BV

Subject

Computer Science Applications,Physics and Astronomy (miscellaneous),Applied Mathematics,Computational Mathematics,Modeling and Simulation,Numerical Analysis

Reference34 articles.

1. The quest for model uncertainty quantification: a hybrid ensemble and variational data assimilation framework;Abbaszadeh;Water Resour. Res.,2019

2. Méthodes numériques pour la décomposition et la minimisation de fonctions non différentiables;Auslender;Numer. Math.,1971

3. Extreme Methods for Solving Ill-Posed Problems with Applications to Inverse Heat Transfer Problems;Alifanov,1996

4. Uncertainty and equifinality in calibrating distributed roughness coefficients in a flood propagation model with limited data;Aronica;Adv. Water Resour.,1998

5. Variational algorithms for approximate Bayesian inference;Beal,2003

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