Michael Sinsbeck

Uncertainty quantification for expensive simulations : optimal surrogate modeling under time constraints

Michael Sinsbeck, 2017 .

Exploratory-Phase-Free Estimation of GP Hyperparameters in Sequential Design Methods—At the Example of Bayesian Inverse Problems

Michael Sinsbeck, Wolfgang Nowak, Marvin Höge, 2020, Frontiers in Artificial Intelligence.

Impact of Data Assimilation on Cost-Accuracy Tradeoff in Multifidelity Models

Daniel M. Tartakovsky, Michael Sinsbeck, 2015, SIAM/ASA J. Uncertain. Quantification.

Sequential Design of Computer Experiments for the Solution of Bayesian Inverse Problems

Michael Sinsbeck, Wolfgang Nowak, W. Nowak, 2017, SIAM/ASA J. Uncertain. Quantification.

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

Michael Sinsbeck, Wolfgang Nowak, Emily Cooke, 2021, SIAM/ASA J. Uncertain. Quantification.

Building bridges between disciplines: A generalized mathematical framework for climate change impact assessment

Bruno Merz, Michael Sinsbeck, Andreas Schäfer, 2021 .

AN OPTIMAL SAMPLING RULE FOR NONINTRUSIVE POLYNOMIAL CHAOS EXPANSIONS OF EXPENSIVE MODELS

Michael Sinsbeck, Wolfgang Nowak, W. Nowak, 2015 .