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On the Way to Appropriate Model Complexity

M. Höge, T. Wöhling, and W. Nowak. American Geophysical Union, Fall Meeting 2016, page NG13A-1683. Smithsonian Astrophysical Observatory, (2016)

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Marvin Ravan University of Stuttgart

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Other publications of authors with the same name

Bayesian multi-model frameworks - Properly Addressing Conceptual Uncertainty in Applied ModellingM. Höge. Universität Tübingen, Tübingen, Germany, Doctoral dissertation, (2019)The hydrologist's guide to Bayesian model selection, averaging and combinationM. Höge, A. Guthke, and W. Nowak. Journal of Hydrology, (2019)Bayesian model evidence as a model evaluation metricA. Guthke, M. Höge, and W. Nowak. 19th EGU General Assembly, EGU2017, page 13390. Smithsonian Astrophysical Observatory, (2017)Using model complexity to select the optimum architecture for artificial neural networksU. Khan, M. Höge, E. Snieder, R. Shakir, and W. Nowak. 20th EGU General Assembly, EGU2018, page 17908. Smithsonian Astrophysical Observatory, (2018)Diagnosing similarities in probabilistic multi-model ensembles : an application to soil–plant-growth-modelingA. Schäfer Rodrigues Silva, T. Weber, S. Gayler, A. Guthke, M. Höge, W. Nowak, and T. Streck. Modeling earth systems and environment, 8 (4): 5143-5175 (2022)Strategies for Simplifying Reactive Transport Models : A Bayesian Model ComparisonA. Schäfer Rodrigues Silva, A. Guthke, M. Höge, O. Cirpka, and W. Nowak. Water resources research, 56 (11): e2020WR028100 (2020)Exploratory-Phase-Free Estimation of GP Hyperparameters in Sequential Design Methods : at the Example of Bayesian Inverse ProblemsM. Sinsbeck, M. Höge, and W. Nowak. Frontiers in Artificial Intelligence : AI in Food, Agriculture and Water, (2020)Lumped geohydrological modelling for long-term predictions of groundwater storage and depletionF. Ejaz, T. Wöhling, M. Höge, and W. Nowak. Journal of hydrology, 606 (March): 127347 (2022)Bayesian Multi-Model Frameworks : Properly Addressing Conceptual Uncertainty in Applied ModellingM. Höge. Universität Tübingen, Tübingen, Dissertation, (2019)A Primer for Model Selection: The Decisive Role of Model ComplexityM. Höge, T. Wöhling, and W. Nowak. Water resources research, 54 (3): 1688-1715 (2018)