A Bayesian Approach to the Estimation of Parameters and Their Interdependencies in Environmental Modeling

A Bayesian Approach to the Estimation of Parameters and Their Interdependencies in Environmental Modeling

We present a case study for Bayesian analysis and proper representation of distributions and dependence among parameters when calibrating process-oriented environmental models. A simple water quality model for the Elbe River (Germany) is referred to as an example, but the approach is applicable to a...

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Bibliographic Details
Main Authors: Christopher G. Albert, Ulrich Callies, Udo von Toussaint
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Entropy
Subjects:
model calibration
overparameterization
posterior parameter dependence
Markov chain Monte Carlo
delayed acceptance
Bayesian network
Online Access:https://www.mdpi.com/1099-4300/24/2/231

Internet

https://www.mdpi.com/1099-4300/24/2/231

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