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J. Jakeman

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Preprint Sep 2026

Risk-Aware Goal-Oriented Bayesian Optimal Experimental Design

A risk-aware framework that composes risk at three levels, each generalizing an ingredient of classical $I- and $G-optimal design: a deviation measure of the posterior predictive uncertainty, a risk measure across the prediction domain, and a risk measure over datasets.

J. Jakeman, Rebekah White, B. G. van Bloemen Waanders et al. · 0 citations

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