Researchers explored the decision-making process of Gaussian process (GP) models, focusing on loss landscapes and hyperparameter optimization. They emphasized the importance of the Matérn kernel ...

Robert B. Gramacy, Herbert K. H. Lee, Bayesian Treed Gaussian Process Models with an Application to Computer Modeling, Journal of the American Statistical Association, Vol. 103, No. 483 (Sep., 2008), ...

METHODS We present a Semi-Artificial Model of Population, which aims to bridge demographic micro-simulation and agent-based traditions. We then utilise a Gaussian process emulator – a statistical ...