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Anneli Guthke (geb. Schöniger)
Anneli Guthke (geb. Schöniger)
Verified email at simtech.uni-stuttgart.de - Homepage
Title
Cited by
Cited by
Year
Parameter estimation by ensemble Kalman filters with transformed data: Approach and application to hydraulic tomography
A Schöniger, W Nowak, HJ Hendricks Franssen
Water Resources Research 48 (4), 2012
2052012
Model selection on solid ground: Rigorous comparison of nine ways to evaluate B ayesian model evidence
A Schöniger, T Wöhling, L Samaniego, W Nowak
Water resources research 50 (12), 9484-9513, 2014
1622014
The hydrologist’s guide to Bayesian model selection, averaging and combination
M Höge, A Guthke, W Nowak
Journal of Hydrology 572, 96-107, 2019
722019
Finding the right balance between groundwater model complexity and experimental effort via Bayesian model selection
A Schöniger, WA Illman, T Wöhling, W Nowak
Journal of Hydrology 531, 96-110, 2015
632015
Bayesian model averaging to explore the worth of data for soil‐plant model selection and prediction
T Wöhling, A Schöniger, S Gayler, W Nowak
Water resources research 51 (4), 2825-2846, 2015
622015
Defensible Model Complexity: A Call for Data-Based and Goal-Oriented Model Choice.
A Guthke
Ground Water 55 (5), 2017
542017
The comprehensive differential split-sample test: A stress-test for hydrological model robustness under climate variability
DF Motavita, R Chow, A Guthke, W Nowak
Journal of Hydrology 573, 501-515, 2019
532019
A statistical concept to assess the uncertainty in b ayesian model weights and its impact on model ranking
A Schöniger, T Wöhling, W Nowak
Water Resources Research 51 (9), 7524-7546, 2015
402015
Entropy-based experimental design for optimal model discrimination in the geosciences
W Nowak, A Guthke
Entropy 18 (11), 409, 2016
382016
Bayesian selection of hydro-morphodynamic models under computational time constraints
F Mohammadi, R Kopmann, A Guthke, S Oladyshkin, W Nowak
Advances in Water Resources 117, 53-64, 2018
212018
Bayesian model selection helps to choose objectively between thermodynamic models: A demonstration of selecting a viscosity model based on entropy scaling
O Lötgering-Lin, A Schöniger, W Nowak, J Gross
Industrial & Engineering Chemistry Research 55 (38), 10191-10207, 2016
192016
Bayesian Model Weighting: The Many Faces of Model Averaging
M Höge, A Guthke, W Nowak
Water 12 (2), 309, 2020
172020
Diagnosis of model errors with a sliding time‐window Bayesian analysis
HF Hsueh, A Guthke, T Wöhling, W Nowak
Water Resources Research 58 (2), e2021WR030590, 2022
132022
A maximum-entropy method to estimate discrete distributions from samples ensuring nonzero probabilities
P Darscheid, A Guthke, U Ehret
Entropy 20 (8), 601, 2018
132018
Strategies for simplifying reactive transport models: A Bayesian model comparison
A Schäfer Rodrigues Silva, A Guthke, M Höge, OA Cirpka, W Nowak
Water Resources Research 56 (11), e2020WR028100, 2020
102020
Diagnosing similarities in probabilistic multi-model ensembles: an application to soil–plant-growth-modeling
A Schäfer Rodrigues Silva, TKD Weber, S Gayler, A Guthke, M Höge, ...
Modeling Earth Systems and Environment 8 (4), 5143-5175, 2022
62022
Overcoming the model‐data‐fit problem in porous media: a quantitative method to compare invasion‐percolation models to high‐resolution data
I Banerjee, A Guthke, CJC Van De Ven, KG Mumford, W Nowak
Water Resources Research 57 (7), e2021WR029986, 2021
42021
Bayesian assessment of conceptual uncertainty in hydrosystem modeling
DIA Schöniger
Doctoral dissertation, Universität Tübingen, Tübingen, Germany, 2016
42016
The four ways to consider measurement noise in Bayesian model selection—And which one to choose
S Reuschen, W Nowak, A Guthke
Water Resources Research 57 (11), e2021WR030391, 2021
32021
Adaptive Erkundungskonzepte und-methoden
H Dörr, B Bohnert, A Guthke, H Hansel, T Held, ES Hiesl, C Leven, T Ptak, ...
Schweizerbart'sche Verlagsbuchhandlung, 2017
32017
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Articles 1–20