Bayesian Experimental Design for Head Imaging by Electrical Impedance Tomography
Author:
Affiliation:
1. Department of Mathematics and Systems Analysis, Aalto University, P.O. Box 11100, FI-00076 Aalto, Finland.
2. Engineering Mathematics, University of Innsbruck, Technikerstrasse 13, A-6020 Innsbruck, Austria.
Funder
Jane and Aatos Erkko Foundation and the Academy of Finland
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Reference50 articles.
1. Optimal experimental design for infinite-dimensional Bayesian inverse problems governed by PDEs: a review
2. On Bayesian A- and D-Optimal Experimental Designs in Infinite Dimensions
3. A-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems with Regularized $\ell_0$-Sparsification
4. A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems
5. Computational Uncertainty Quantification for Inverse Problems
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