Efficient Bayesian Optimal Experimental Design for Expensive Computational Models over Finite Design Sets

Maximilian Dinkel, Dragos C. Ana, Benedikt Goderbauer +1

Bayesian calibration is a powerful framework for identifying parameters in complex and large-scale computational models. However, when there is insufficient or poorly suited data f…