| 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 | 204 | 2012 |
| 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 | 162 | 2014 |
| The hydrologist’s guide to Bayesian model selection, averaging and combination M Höge, A Guthke, W Nowak Journal of Hydrology 572, 96-107, 2019 | 72 | 2019 |
| 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 | 62 | 2015 |
| 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 | 61 | 2015 |
| 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 | 53 | 2019 |
| Defensible Model Complexity: A Call for Data-Based and Goal-Oriented Model Choice. A Guthke Ground Water 55 (5), 2017 | 52 | 2017 |
| 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 | 40 | 2015 |
| Entropy-based experimental design for optimal model discrimination in the geosciences W Nowak, A Guthke Entropy 18 (11), 409, 2016 | 38 | 2016 |
| 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 | 21 | 2018 |
| 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 | 19 | 2016 |
| Bayesian Model Weighting: The Many Faces of Model Averaging M Höge, A Guthke, W Nowak Water 12 (2), 309, 2020 | 16 | 2020 |
| A maximum-entropy method to estimate discrete distributions from samples ensuring nonzero probabilities P Darscheid, A Guthke, U Ehret Entropy 20 (8), 601, 2018 | 13 | 2018 |
| 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 | 12 | 2022 |
| 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 | 10 | 2020 |
| 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 | 6 | 2022 |
| 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 | 4 | 2021 |
| Bayesian assessment of conceptual uncertainty in hydrosystem modeling DIA Schöniger Doctoral dissertation, Universität Tübingen, Tübingen, Germany, 2016 | 4 | 2016 |
| 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 | 3 | 2021 |
| Adaptive Erkundungskonzepte und-methoden H Dörr, B Bohnert, A Guthke, H Hansel, T Held, ES Hiesl, C Leven, T Ptak, ... Schweizerbart'sche Verlagsbuchhandlung, 2017 | 3 | 2017 |
Wolfgang NowakStochastic Modelling of Hydrosystems, Universität Stuttgart在 iws.uni-stuttgart.de 的电子邮件经过验证
