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
Published in:	Entropy
Main Authors:	Christopher G. Albert, Ulrich Callies, Udo von Toussaint
Format:	Article
Language:	English
Published:	MDPI AG 2022-02-01
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

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