Vrugt, Jasper A. and Beven, Keith J. (2018) Embracing equifinality with efficiency : limits of acceptability sampling using the DREAM(LOA) algorithm. Journal of Hydrology, 559. pp. 954-971. ISSN 0022-1694
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Abstract
This essay illustrates some recent developments to the DiffeRential Evolution Adaptive Metropolis (DREAM) MATLAB toolbox of Vrugt, 2016 to delineate and sample the behavioural solution space of set-theoretic likelihood functions used within the GLUE (Limits of Acceptability) framework (Beven and Binley, 1992; Beven and Freer, 2001; Beven, 2006; Beven et al., 2014). This work builds on the DREAM (ABC) algorithm of Sadegh and Vrugt, 2014 and enhances significantly the accuracy and CPU-efficiency of Bayesian inference with GLUE. In particular it is shown how lack of adequate sampling in the model space might lead to unjustified model rejection.
Item Type: | Article |
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Official URL: | https://www.sciencedirect.com/journal/journal-of-h... |
Additional Information: | © 2018 Elsevier B.V. |
Divisions: | Centre for Analysis of Time Series |
Subjects: | H Social Sciences > HA Statistics |
Date Deposited: | 19 Mar 2018 15:15 |
Last Modified: | 11 Dec 2024 21:34 |
URI: | http://eprints.lse.ac.uk/id/eprint/87291 |
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