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Certified Bayesian optimal experimental design: from Expected Information Gain to Signal-to-Noise Ratio
Optimal experimental design is often formulated as the maximization of the Expected Information Gain (EIG), which measures the expected reduction in uncertainty about a parameter of interest after observing the data. For nonlinear forward models and nonGaussian priors, computing the EIG typically re
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