This work presents an approximation of the Bayesian OED problem based on Kullback-Leibler divergence that is amenable to global optimization.

Abstract—Optimal experiment design (OED) aims to opti- mize the information content of experimental observations for various types of applications by ...

This work presents solution methods for two approximate formulations of the Bayesian OED problem based on Kullback–Leibler divergence

Dec 14, 2020 · This work presents an approximation of the Bayesian OED problem based on Kullback–Leibler divergence that is amenable to global ...

This work presents solution methods for two approximate formulations of the Bayesian OED problem based on Kullback–Leibler divergence.

This contribution presents a tractable approach for obtaining globally optimal solutions to Bayesian OED for nonlinear systems with time-varying designs. The ...

Optimal experiment design (OED) uses a system model to select experimental conditions by maximizing the information content of observations [1]. In Bayesian ...

Optimal experiment design (OED) aims to optimize the information content of experimental observa- tions by designing the experimental conditions.

Optimal experiment design (OED) aims to optimize the information content of experimental observations by designing the experimental conditions. In Bayesian ...

Tractable global solutions to chance-constrained Bayesian optimal experiment design for arbitrary prior and noise distributions · 3 Citations · 48 References.