Likelihood-Free Simulation-Based Optimal Design: An Introduction

In the past decades simulation techniques, particularly the use of Markov chain Monte Carlo (MCMC) methods, have revolutionized statistical inference (cf. [9]). There has, however, been little impact of this revolution on the experimental design literature other than the pioneering work initiated by Peter Muller (cf. [7] and [8]) and his followers.