Appraisal of the generalized likelihood uncertainty estimation (GLUE) method

By Jery R. Stedinger, Richard M. Vogel, S. U. Lee, R. Batchelder. 2008

415 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/af3fb62fbcd8622120949f803176bb2b3a51de13

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Citations in the corpus

Bridging the gap between GLUE and formal statistical approaches: approximate Bayesian computation (2013, background): “…oppose incorrect usage of statistics in favor of coherent probabilistic approaches (Gupta et al., 1998; Beven and Young, 2003; Gupta et al., 2003; Christensen, 2004; Montanari, 2005; Mantovan and Todini, 2006; Stedinger et al., 2008; Beven et al., 2008; Beven, 2009; Vrugt et al., 2008b, c).”
Pursuing the method of multiple working hypotheses for hydrological modeling (2011, background): “This is a manifestation of ‘‘nonidentifiability,’’ a key statistical inference limitation encountered in many scientific fields, especially in data-scarce contexts [e.g., Tarantola, 2005; Renard et al., 2010].”
One decade of multi-objective calibration approaches in hydrological modelling: a review (2010, background): “Additionally, they imply considerable subjectivity with respect to the selection of prior probability distributions, likelihood functions and cut-off thresholds (Stedinger et al., 2008).”
Impact of the numbers of observations and calibration parameters on equifinality, model performance, and output and parameter uncertainty (2015, background): “, 2009) and statistical informality of a generalized likelihood function (Freer et al., 1996; Christensen, 2003; Montanari, 2005, 2007; Mantovan and Todini, 2006; Zheng and Keller, 2007; Jia and Culver, 2008; Stedinger et al., 2008; Sadegh and Vrugt, 2013).”
Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling? (2009, methodology): “…the hydrologic literature have criticized GLUE for not being formally Bayesian, resulting in parameter and predictive distributions that are statistically incoherent, unreliable, and that should therefore not be used (Christensen 2004; Montanari 2005; Mantovan and Todini 2006; Vogel et al. 2008).”
GLUE: 20 years on (2014, background): “This is clearly easier for the synthetic case (refer also to Mantovan and Todini, 2006; Stedinger et al., 2008). ons, Ltd Hydrol.”
Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors (2010, methodology): “This is a consequence of posterior parametric uncertainty decreasing as more data is used [e.g., Kuczera et al., 2006; Stedinger et al., 2008].”
Influence of likelihood function choice for estimating crop model parameters using the generalized likelihood uncertainty estimation method (2010, background): “However, Stedinger et al. (2008) criticized the use of an arbitrary likelihood function.”
Indices for assessing the prediction bounds of hydrological models and application by generalised likelihood uncertainty estimation / Indices pour évaluer les bornes de prévision de modèles hydrologiques et mise en œuvre pour une estimation d'incertitude par vraisemblance généralisée (2009, background): “…et al., 1999; Aronica et al., 2002; Blazkova & Beven, 2002; Montanari, 2005; Heidari et Lihua Xiong et al. Copyright © 2009 IAHS Press 858 al., 2006; Mantovan & Todini, 2006; McMichael et al., 2006; Beven et al., 2008; Blasone et al., 2008a,b; Xiong & O’Connor, 2008; Stedinger et al., 2008).”
On the colour and spin of epistemic error (and what we might do about it) (2011, methodology): “This has led to significant criticism of the GLUE method (e.g. Mantovan and Todini, 2006; Stedinger et al., 2008); though both of these critical studies are based on hypothetical examples where the model structure is known to be correct so that there is no epistemic uncertainty (see the extension of”
Parameter and modeling uncertainty simulated by GLUE and a formal Bayesian method for a conceptual hydrological model (2010, methodology): “Stedinger et al. (2008) argued that although an absolutely correct likelihood function may be difficult to construct, it should not be an excuse to use any function and calls for a likelihood measure that will yield probabilities with any statistical validity.”
Parameter uncertainty analysis for an operational hydrological model using residual-based and limits of acceptability approaches (2018, methodology): “The original GLUE methodology has been the subject of debate for using a subjectively set threshold of behavioral models (e.g., Mantovan and Todini, 2006; Stedinger et al., 2008; Clark et al., 2011; Nearing et al., 2016).”