Using a Gaussian Process as a Nonparametric Regression Model
James Gattiker, Michael S. Hamada, David Higdon, Matthias Schonlau, William J. Welch · Quality and Reliability Engineering International · 2015
We show how a Gaussian Process (GP) can be used as a nonparametric regression model to fit experiment data that captures the relationship between the experiment response and the experiment factors. We illustrate the GP model analysis with a solar collector computer experiment. We also illustrate how physical experiment data can be analyzed using a GP. Copyright © 2015 John Wiley & Sons, Ltd.