Covariance parameters estimation in Gaussian process models

Abstract:

Gaussian process models typically contain finite dimensional parameters in the covariance function that need to be estimated from the data. Fixed-domain asymptotic is studied for the covariance parameters in Gaussian process models that are observed with irregularly spaced design sites. Under Fixed-domain asymptotics, identification and consistent estimation for the covariance parameters are proposed.