Kontakt
Pfaffenwaldring 5a
D-70569 Stuttgart
Raum: 2.01
2021
- Sinsbeck M, Cook E, Nowak W. Sequential Design of Computer Experiments for the Computation of Bayesian Model Evidence. SIAM/ASA Journal on Uncertainty Quantification. Februar 2021;9(1):260--279.
- González-Nicolás A, Schwientek M, Sinsbeck M, Nowak W. Characterization of export regime in discharge-concentration plots via an advanced time-series model and event-based sampling. Water. 2021;13:1723.
2020
- Sinsbeck M, Höge M, Nowak W. Exploratory-phase-free estimation of GP hyperparameters in sequential design methods - at the example of Bayesian inverse problems. Frontiers in Artificial Intelligence, section AI in Food, Agriculture and Water. 2020;3(52):1–16.
- Gonzalez-Nicolas Alvarez A, Nowak W, Sinsbeck M, Schwientek M. Characterize the catchment regime by applying optimal monitoring strategies. In: EGU General Assembly Conference Abstracts. 2020. S. 4843. (EGU General Assembly Conference Abstracts).
2019
- González-Nicolás A, Nowak W, Sinsbeck M, Schwientek M. Optimal scheduling and event-based sampling: development and demonstration for investigating the nitrate characteristics of a headwater catchment. In: General Assembly 2019, Geophysical Research Abstracts: EGU2019-964, 2019. Vienna, Austria: European Geosciences Union (EGU); 2019. (General Assembly 2019, Geophysical Research Abstracts: EGU2019-964, 2019).
2017
- Sinsbeck M, Nowak W. Sequential Design of Computer Experiments for the Solution of Bayesian Inverse Problems. In Weimar, Germany: 88th GAMM Annual Meeting; 2017.
2016
- Sinsbeck M, Nowak W. Sequential Design of Computer Experiments for the Solution of Bayesian Inverse Problems. In Lausanne, Switzerland: SIAM Conference on Uncertainty Quantification; 2016.
2015
- Sinsbeck M, Nowak W. An optimal sampling rule for nonintrusive polynomial chaos expansions of expensive models. International Journal for Uncertainty Quantification. 2015;5(3):275–95.
- Sinsbeck M, Tartakovsky D. Impact of Data Assimilation on Cost-Accuracy Tradeoff in Multi-Fidelity Models at the Example of an Infiltration Problem. In: General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-11902, 2015. Vienna, Austria: European Geosciences Union (EGU); 2015. (General Assembly 2015, Geophysical Research Abstracts 17: EGU2015-11902, 2015).
- Sinsbeck M, Tartakovsky D. Impact of data assimilation on cost-accuracy tradeoff in multifidelity models. SIAM/ASA Journal of Uncertainty Quantification. 2015;3(1):954–68.
2014
- Sinsbeck M, Nowak W. Adaptive Sampling for Bayesian Updating with Non-Intrusive Polynomial Chaos Expansions. In Savannah, Georgia, USA: SIAM Conference on Uncertainty Quantification; 2014.
2012
- Sinsbeck M. Adaptive grid refinement for two phase flow in porous media. Institute for Modelling Hydraulic and Environmental Systems, Universität Stuttgart. Diploma Thesis. 2012.
03/2012 - 09/2016 Doktorand, Institut für Wasser- und Umweltsystemmodellierung,
Universität Stuttgart
Seit 01/2017 Postdoktorand, Institut für Wasser- und Umweltsystemmodellierung,
Universität Stuttgart
Unsicherheitsquantifizierung und Bayes'sche inverse Probleme für rechenintensive Simulationen