Preprint
Sep 2026
Risk-Aware Goal-Oriented Bayesian Optimal Experimental Design
Traditional Bayesian optimal experimental design (OED) selects measurements that best inform a model's parameters. However, such measurements can be suboptimal for downstream predictions. Goal-oriented OED targets the prediction directly. However, the existing goal-oriented criteria value all reductions in predictive u...
J. Jakeman, Rebekah White, B. G. van Bloemen Waanders et al.
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