@techreport{d8b7a0daa29349f08978e96e01bf046c,
title = "Non-zero mean Gaussian process prior wind field models",
abstract = "This report outlines the derivation and application of a non-zero mean, polynomial-exponential covariance function based Gaussian process which forms the prior wind field model used in 'autonomous' disambiguation. It is principally used since the non-zero mean permits the computation of realistic local wind vector prior probabilities which are required when applying the scaled-likelihood trick, as the marginals of the full wind field prior. As the full prior is multi-variate normal, these marginals are very simple to compute.",
keywords = "polynomial-exponential covariance function, Gaussian process, local wind vector, multi-variate",
author = "Dan Cornford",
note = "Copyright {\textcopyright} 1998, Dan Cornford. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/).",
year = "1998",
language = "English",
isbn = "NCRG/98/020",
series = "NCRG",
publisher = "Aston University",
number = "98/020",
type = "WorkingPaper",
institution = "Aston University",
}