Details on Gaussian Process Regression (GPR) and Semi-GPR Modeling
Mohammad Shekaramiz, Todd K. Moon, Gunther, Jake · Digital Commons - USU (Utah State University) · 2019
This report tends to provide details on how to perform predictions using Gaussian process regression (GPR) modeling. In this case, we represent proofs for prediction using non-parametric GPR modeling for noise-free predictions as well as prediction using semi-parametric GPR for noisy observations.