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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 17, issue 12
Hydrol. Earth Syst. Sci., 17, 4831–4850, 2013
https://doi.org/10.5194/hess-17-4831-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 17, 4831–4850, 2013
https://doi.org/10.5194/hess-17-4831-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 05 Dec 2013

Research article | 05 Dec 2013

Bridging the gap between GLUE and formal statistical approaches: approximate Bayesian computation

M. Sadegh and J. A. Vrugt

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Ajami, N. K., Duan, Q., and Sorooshian, S.: An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction, Water Resour. Res., 43, W01403, https://doi.org/10.1029/2005WR004745, 2007.
Aronica, G., Bates, P. D., and Horritt, M. S.: Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE, Hydrol. Proccess., 16, 2001–2016, 2002.
Barnes, C., Filippi, S., Stumpf, M. P. H., and Thorne, T.: Considerate approaches to achieving sufficiency for ABC model selection, available at: http://arxiv.org/pdf/1106.6281v2.pdf (last access: 1 December 2013), 2011.
Bates, B. C. and Campbell, E. P.: A Markov chain Monte Carlo scheme for parameter estimation and inference in conceptual rainfall-runoff modeling, Water Resour. Res., 37, 937–947, 2001.
Beaumont, M. A., Zhang, W., and Balding, D. J.: Approximate Bayesian computation in population genetics, Genetics, 162, 2025–2035, 2002.
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