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Providing relevant uncertainty information to decision makers: Subjective post-processing of rigorous Bayesian uncertainty assessment of model projections

, , , , and . (December 2020)

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Diagnosis of model-structural errors with a sliding time-window Bayesian analysis, , , and . Water Resources Research, (2022)Bayesian model evidence as a model evaluation metric, , and . 19th EGU General Assembly, EGU2017, page 13390. Smithsonian Astrophysical Observatory, (2017)Providing relevant uncertainty information to decision makers : Subjective post-processing of rigorous Bayesian uncertainty assessment of model projections, , , , and . American Geophysical Union, Fall Meeting 2020, page GC073-0011. Smithsonian Astrophysical Observatory, (2020)The hydrologist's guide to Bayesian model selection, averaging and combination, , and . Journal of Hydrology, (2019)The Four Ways to Consider Measurement Noise in Bayesian Model Selection : And Which One to Choose, , and . Water resources research, 57 (11): e2021WR030391 (2021)Comprehensive uncertainty analysis for surface water and groundwater projections under climate change based on a lumped geo-hydrological model, , , and . Journal of Hydrology, (2023)A unified framework for quantitative interdisciplinary flood risk assessment, , , , , , , , , and 7 other author(s). (December 2020)Evaluating physics-based representations of hydrological systems through hybrid models and information theory, , , and . (2024)Replication Data for: Evaluating Non-Parametric Methods in Information Theory, , , and . Software, (2024)Related to: Evaluating Density- and Nearest Neighbor-based Methods to Accurately Estimate Information-Theoretic Quantities from Multi-Dimensional Sample Data.The method of forced probabilities : a computation trick for Bayesian model evidence, , , , and . Computational geosciences, 27 (1): 45-62 (2023)