A Review of Modern Computational Algorithms for Bayesian Optimal Design

Summary Bayesian experimental design is a fast growing area of research with many real‐world applications. As computational power has increased over the years, so has the development of simulation‐based design methods, which involve a number of algorithms, such as Markov chain Monte Carlo, sequentia... View More