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stat.ME2026
Risk-Aware Goal-Oriented Bayesian Optimal Experimental Design
John D. Jakeman, Rebekah White, Bart van Bloemen Waanders +2
Traditional Bayesian optimal experimental design (OED) selects measurements that best inform a model's parameters. However, such measurements can be suboptimal for downstream predi…
stat.ME2025
Optimal Experimental Design Criteria for Data-Consistent Inversion
Troy Butler, John Jakeman, Michael Pilosov +2
The ability to design effective experiments is crucial for obtaining data that can substantially reduce the uncertainty in the predictions made using computational models. An optim…