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Effect of heteroscedasticity treatment in residual error models on model calibration and prediction uncertainty estimation

https://doi.org/10.1016/j.jhydrol.2017.09.041
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticity
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Uncertainty estimates by Bayesian method with likelihood of AR (1) plus Normal model and AR (1) plus Multi-Normal model in different time-scales hydrological models
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Improvement and comparison of likelihood functions for model calibration and parameter uncertainty analysis within a Markov chain Monte Carlo scheme
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Evaluation of the latest satellite–gauge precipitation products and their hydrologic applications over the Huaihe River basin
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Stochastic parameter estimation procedures for hydrologie rainfall‐runoff models: Correlated and heteroscedastic error cases
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Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling
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Error reduction and representation in stages (ERRIS) in hydrological modelling for ensemble streamflow forecasting

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