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  • Limits_of_Acceptability_GLUE_DREAM_Resubmitted_Dec_18_2017

    Rights statement: This is the author’s version of a work that was accepted for publication in Journal of Hydrology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Hydrology, 559, 2018 DOI: 10.1016/j.hydrol.2018.02.026

    Accepted author manuscript, 4.74 MB, PDF document

    Available under license: CC BY-NC-ND: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

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Embracing Equifinality with Efficiency: Limits of Acceptability Sampling Using the DREAM(LOA) algorithm

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Embracing Equifinality with Efficiency: Limits of Acceptability Sampling Using the DREAM(LOA) algorithm. / Vrugt, J. A.; Beven, Keith John.
In: Journal of Hydrology, Vol. 559, 04.2018, p. 954-971.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Vrugt, JA & Beven, KJ 2018, 'Embracing Equifinality with Efficiency: Limits of Acceptability Sampling Using the DREAM(LOA) algorithm', Journal of Hydrology, vol. 559, pp. 954-971. https://doi.org/10.1016/j.jhydrol.2018.02.026

APA

Vrugt, J. A., & Beven, K. J. (2018). Embracing Equifinality with Efficiency: Limits of Acceptability Sampling Using the DREAM(LOA) algorithm. Journal of Hydrology, 559, 954-971. https://doi.org/10.1016/j.jhydrol.2018.02.026

Vancouver

Vrugt JA, Beven KJ. Embracing Equifinality with Efficiency: Limits of Acceptability Sampling Using the DREAM(LOA) algorithm. Journal of Hydrology. 2018 Apr;559:954-971. Epub 2018 Feb 14. doi: 10.1016/j.jhydrol.2018.02.026

Author

Vrugt, J. A. ; Beven, Keith John. / Embracing Equifinality with Efficiency : Limits of Acceptability Sampling Using the DREAM(LOA) algorithm. In: Journal of Hydrology. 2018 ; Vol. 559. pp. 954-971.

Bibtex

@article{b68ad61079c14d6cafdb9670149c23ec,
title = "Embracing Equifinality with Efficiency: Limits of Acceptability Sampling Using the DREAM(LOA) algorithm",
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.",
keywords = "GLUE, Limits of Acceptability, Markov Chain Monte Carlo, Posterior Sampling, DREAM, DREAM(LOA), Sufficiency, Hydrological modelling",
author = "Vrugt, {J. A.} and Beven, {Keith John}",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Journal of Hydrology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Hydrology, 559, 2018 DOI: 10.1016/j.hydrol.2018.02.026",
year = "2018",
month = apr,
doi = "10.1016/j.jhydrol.2018.02.026",
language = "English",
volume = "559",
pages = "954--971",
journal = "Journal of Hydrology",
issn = "0022-1694",
publisher = "Elsevier Science B.V.",

}

RIS

TY - JOUR

T1 - Embracing Equifinality with Efficiency

T2 - Limits of Acceptability Sampling Using the DREAM(LOA) algorithm

AU - Vrugt, J. A.

AU - Beven, Keith John

N1 - This is the author’s version of a work that was accepted for publication in Journal of Hydrology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Hydrology, 559, 2018 DOI: 10.1016/j.hydrol.2018.02.026

PY - 2018/4

Y1 - 2018/4

N2 - 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.

AB - 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.

KW - GLUE

KW - Limits of Acceptability

KW - Markov Chain Monte Carlo

KW - Posterior Sampling

KW - DREAM

KW - DREAM(LOA)

KW - Sufficiency

KW - Hydrological modelling

U2 - 10.1016/j.jhydrol.2018.02.026

DO - 10.1016/j.jhydrol.2018.02.026

M3 - Journal article

VL - 559

SP - 954

EP - 971

JO - Journal of Hydrology

JF - Journal of Hydrology

SN - 0022-1694

ER -