Generalized likelihood uncertainty estimation (GLUE) and approximate Bayesian computation: What's the connection?

On red herrings and real herrings: disinformation and information in hydrological inference

(2011) Keith Beven et al.   HYDROLOGICAL PROCESSES

Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling

(2011) J. A. Vrugt et al.   INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION

Approximate Bayesian computational methods

(2011) Jean-Michel Marin et al.   STATISTICS AND COMPUTING

Convergence of approaches toward reducing uncertainty in predictions in ungauged basins

(2011) Thorsten Wagener et al.   WATER RESOURCES RESEARCH

Landscape structure and climate influences on hydrologic response

(2011) Fabian Nippgen et al.   WATER RESOURCES RESEARCH

Hierarchical controls on runoff generation: Topographically driven hydrologic connectivity, geology, and vegetation

(2011) Kelsey G. Jencso et al.   WATER RESOURCES RESEARCH

Exploring uncertainty and model predictive performance concepts via a modular snowmelt-runoff modeling framework

(2010) Tyler Jon Smith et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Adaptive approximate Bayesian computation

(2009) M. A. Beaumont et al.   BIOMETRIKA

Towards a limits of acceptability approach to the calibration of hydrological models: Extending observation error

(2009) Yanli Liu et al.   JOURNAL OF HYDROLOGY

Rainfall-runoff model calibration using informal likelihood measures within a Markov chain Monte Carlo sampling scheme

(2009) Hilary McMillan et al.   WATER RESOURCES RESEARCH

A limits of acceptability approach to model evaluation and uncertainty estimation in flood frequency estimation by continuous simulation: Skalka catchment, Czech Republic

(2009) Sarka Blazkova et al.   WATER RESOURCES RESEARCH

Hydrologic connectivity between landscapes and streams: Transferring reach- and plot-scale understanding to the catchment scale

(2009) Kelsey G. Jencso et al.   WATER RESOURCES RESEARCH

Informal likelihood measures in model assessment: Theoretic development and investigation

(2008) Paul Smith et al.   ADVANCES IN WATER RESOURCES

Generalized likelihood uncertainty estimation (GLUE) using adaptive Markov Chain Monte Carlo sampling

(2008) Roberta-Serena Blasone et al.   ADVANCES IN WATER RESOURCES

So just why would a modeller choose to be incoherent?

(2008) Keith J. Beven et al.   JOURNAL OF HYDROLOGY

Comment on “Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling?” by Jasper A. Vrugt, Cajo J. F. ter Braak, Hoshin V. Gupta and Bruce A. Robinson

(2008) Keith J. Beven   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling?

(2008) Jasper A. Vrugt et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation

(2008) Jasper A. Vrugt et al.   WATER RESOURCES RESEARCH

Appraisal of the generalized likelihood uncertainty estimation (GLUE) method

(2008) Jery R. Stedinger et al.   WATER RESOURCES RESEARCH