A. Vidard

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 requires costly nested...