Browsing Waterloo Research by Subject "Uncertainty Analysis"
Now showing items 1-2 of 2
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Improving the efficiency of Monte Carlo Bayesian calibration of hydrologic models via model pre-emption
(International Water Association, 2015-09-01)Bayesian inference via Markov Chain Monte Carlo (MCMC) sampling and sequential Monte Carlo (SMC) sampling are popular methods for uncertainty analysis in hydrological modelling. However, application of these methodologies ... -
Uncertainty-based multi-criteria calibration of rainfall-runoff models: a comparative study
(Springer, 2014-08-01)This study compares formal Bayesian inference to the informal generalized likelihood uncertainty estimation (GLUE) approach for uncertainty-based calibration of rainfall-runoff models in a multi-criteria context. Bayesian ...