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M. W. Gee
Mechanics & High Performance Computing Group, Technical University of Munich, Parkring 35, 85748 Garching, Germany
Articles:
DATA-CONSISTENT SOLUTIONS TO STOCHASTIC INVERSE PROBLEMS USING A PROBABILISTIC MULTI-FIDELITY METHOD BASED ON CONDITIONAL DENSITIES - Vol. 10 '2020 - International Journal for Uncertainty Quantification