Machine Learning, Time Series Analysis, Support Vector Machine, Gaussian Process, Kernel Methods.
deterministic) the covariance function would have been which is indeed is not (necessarily) translation-invariant. The functional prior proposed by [¹] should really be compared to a stationary Gaussian process with mean 0 and the same covariance function, and even if it outperforms its GP