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Disambiguation of "Sinsbeck, Michael"

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Sequential Design of Computer Experiments for the Computation of Bayesian Model Evidence

, , and . SIAM ASA journal on uncertainty quantification, 9 (1): 260-279 (2021)
DOI: 10.1137/20M1320432

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Michael Beltle University of Stuttgart

Influence of Switching Contact Materials with Superimposed Axial Magnetic Field on the Vacuum Arc’s Chopping Behavior, , , , and . 2023 30th International Symposium on Discharges and Electrical Insulation in Vacuum (ISDEIV), page 177-180. IEEE, (2023)

Univ. -Prof. Dr. Michael Pradel University of Stuttgart

LExecutor: Learning-Guided Execution, and . Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, page 1522-1534. Association for Computing Machinery, (2023)

Dr. Michael Dyballa University of Stuttgart

Comparison of the Catalytic Activity of Surface-Immobilized Copper Complexes with Phosphonate Anchoring Groups for Atom Transfer Radical Cyclizations and Additions, , , , , , and . Organometallics, 43 (3): 233-241 (2024)

Univ. -Prof. Dr. rer. nat. Michael Sedlmair University of Stuttgart

Metaphorical Visualization : Mapping Data to Familiar Concepts, , , , and . CHI EA '22 : Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems, page 10. New York, Association for Computing Machinery, (2022)

Dr. Michael Böhm University of Stuttgart

Energy-optimal control of adaptive structures, , , , , and . Automatisierungstechnik, 72 (2): 107-119 (2024)
 

Other publications of authors with the same name

Sequential Design of Computer Experiments for the Computation of Bayesian Model Evidence, , and . SIAM/ASA Journal on Uncertainty Quantification, 9 (1): 260--279 (February 2021)Optimal scheduling and event-based sampling : development and demonstration for investigating the nitrate characteristics of a headwater catchment, , , and . 21th EGU General Assembly, EGU2019, page 964. Smithsonian Astrophysical Observatory, (2018)Characterize the catchment regime by applying optimal monitoring strategies, , , and . EGU General Assembly Conference Abstracts, page 4843. (May 2020)Uncertainty quantification for expensive simulations : optimal surrogate modeling under time constraints. Universität Stuttgart, Stuttgart, Dissertation, (2017)An optimal sampling rule for nonintrusive polynomial chaos expansions of expensive models, and . International journal for uncertainty quantification, 5 (3): 275-295 (2015)Sequential Design of Computer Experiments for the Solution of Bayesian Inverse Problems, and . SIAM ASA journal on uncertainty quantification, 5 (1): 640-664 (2017)A unified framework for quantitative interdisciplinary flood risk assessment, , , , , , , , , and 7 other author(s). (December 2020)Impact of data assimilation on cost-accuracy tradeoff in multifidelity models, and . SIAM ASA journal on uncertainty quantification, 3 (1): 954-968 (2015)Characterize the catchment regime by applying optimal monitoring strategies, , , and . EGU General Assembly 2020, page EGU2020-4843. Copernicus GmbH, (2020)Characterization of Export Regimes in Concentration–Discharge Plots via an Advanced Time-Series Model and Event-Based Sampling Strategies, , , and . Water, 13 (13): 1723 (2021)