Dr.

Marvin Höge

Postdoc
Institute for Modelling Hydraulic and Environmental Systems (LS3/SimTech)

Contact

+49-711-685 60131

Business card (VCF)

Pfaffenwaldring 5a
D-70569 Stuttgart
Room: 2.29

  1. 2020

    1. Höge M, Guthke A, Nowak W. Bayesian Model Weighting: The Many Faces of Model Averaging. Water [Internet]. 2020;12(2):309. Available from: https://www.mdpi.com/2073-4441/12/2/309
  2. 2019

    1. Höge M, Guthke A, Nowak W. The Hydrologist’s Guide to Bayesian Model Selection, Averaging and Combination. Journal of Hydrology [Internet]. 2019;572:96–107. Available from: http://www.sciencedirect.com/science/article/pii/S0022169419301532
    2. Höge M. Bayesian multi-model frameworks - Properly Addressing Conceptual Uncertainty in Applied Modelling [Internet] [Doctoral dissertation]. Universität Tübingen, Tübingen, Germany; 2019. Available from: https://publikationen.uni-tuebingen.de/xmlui/handle/10900/87769
  3. 2018

    1. Guthke A, Höge M, Nowak W. How model selection and averaging strategies help us improve hydrological models. In: General Assembly 2018, Geophysical Research Abstracts 20: EGU2018-12797, 2018. Vienna, Austria: European Geosciences Union (EGU); 2018. (General Assembly 2018, Geophysical Research Abstracts 20: EGU2018-12797, 2018).
    2. Höge M, Wöhling T, Nowak W. A Primer for Model Selection: The Decisive Role of  Model Complexity. Water Resources Research [Internet]. 2018; Available from: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017WR021902
    3. Höge M, Wöhling T, Nowak W. The Decisive Role of Model Complexity in Model Selection. In: General Assembly 2018, Geophysical Research Abstracts  20: EGU2018-6499, 2018. Vienna, Austria: European Geosciences Union (EGU); 2018. (General Assembly 2018, Geophysical Research Abstracts  20: EGU2018-6499, 2018).
    4. Khan U, Snieder E, R.Shakir, Höge M, Nowak W. Using model complexity to select the optimum architecture  for artificial neural networks. In: General Assembly 2018, Geophysical Research Abstracts 20: EGU2018-17908. Vienna, Austria: European Geosciences Union (EGU); 2018. (General Assembly 2018, Geophysical Research Abstracts 20: EGU2018-17908).
    5. Höge M, Wöhling T, Nowak W. Model Selection: Play-It-Safe vs. No-Risk-No-Fun. In: Integrated Hydrosystem Modelling 2018 Conference: How Complex Should Integrated Models Be? Tübingen, Germany: RTG 1829, DFG; 2018. (Integrated Hydrosystem Modelling 2018 Conference: How Complex Should Integrated Models Be?).
  4. 2017

    1. Guthke A, Höge M, Nowak W. Bayesian model evidence as a model evaluation metric. In: General Assembly 2017, Geophysical Research Abstracts 19: EGU2017-13390-1, 2017. Vienna, Austria: European Geosciences Union (EGU); 2017. (General Assembly 2017, Geophysical Research Abstracts 19: EGU2017-13390-1, 2017).
    2. Höge M, Illman W, Nowak W. Bayesian Model Selection under Time Constraints. In: Fall Meeting 2017, Abstract: H23C-1661. New Orleans, LA, USA: American Geophysical Union (AGU); 2017. (Fall Meeting 2017, Abstract: H23C-1661).
  5. 2016

    1. Höge M, Wöhling T, Nowak W. On the Way to Appropriate Model Complexity. In: Fall Meeting 2016, Abstract: NG13A-1683. San Francisco, CA, USA: American Geophysical Union (AGU); 2016. (Fall Meeting 2016, Abstract: NG13A-1683).

Since 10/2019 Postdoc, Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart
04/2019 Dr. rer. nat, University of Tübingen
Since 10/2015 Researcher, Institute for Modelling Hydraulic and Environmental Systems, Universities of Stuttgart and Tübingen
09/2015 M.Sc. Applied and Environmental Geoscience, University of Tübingen
09/2013 B.Sc. Umweltnaturwissenschaften, University of Tübingen

Bayesian model selection, averaging and combination

Stochastic modeling of integrated hydrosystems

Scientific Machine Learning

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