Comparing Computer Experiments for the Gaussian Process Model Using Integrated Prediction Variance

Space-Filling Designs are a common choice of experimental design strategy for computer experiments. This paper compares space filling design types based on their theoretical prediction variance properties with respect to the Gaussian Process model. Suggested Citation Silvestrini, Rachel T., Douglas C. Montgomery, and Bradley Jones. “Comparing Computer Experiments for the Gaussian Process Model Using Integrated Prediction Variance.” Quality Engineering 25, no. 2 (April 2013): 164–74. https://doi.org/10.1080/08982112.2012.758284. Paper:

2013 · Rachel Silvestrini, Douglas Montgomery, Bradley Jones

Hybrid Designs- Space Filling and Optimal Experimental Designs for Use in Studying Computer Simulation Models

This tutorial provides an overview of experimental design for modeling and simulation. Pros and cons of each design methodology are discussed. Suggested Citation Silvestrini, Rachel Johnson. “Hybrid Designs: Space Filling and Optimal Experimental Designs for Use in Studying Computer Simulation Models.” Monterey, California, May 2011. Slides:

2011 · Rachel Johnson Silvestrini