Presents a nested Monte Carlo framework with MCMC for computing expected information gain on nonlinear QoIs in Bayesian OED, optimized via Bayesian optimization and demonstrated on source inversion.
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Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo
Presents a nested Monte Carlo framework with MCMC for computing expected information gain on nonlinear QoIs in Bayesian OED, optimized via Bayesian optimization and demonstrated on source inversion.