UNIVERSALLY OPTIMAL DESIGNS FOR COMPUTER EXPERIMENTS

The concept of universal optimality from optimum design theory is intro- duced into computer experiments, modeled as realizations of stationary Gaussian processes. When the correlation function is a nondecreasing and convex function of a distance measure, it is shown that a design is universally optimal if it is equidis- tant and of maximum average distance. Examples of universally optimal designs are given with respect to rectangular, Euclidean, Hamming, and Lee distances.