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• W2255491480 abstract "We develop two new classes of space-time Gaussian process models by specifying covariance functions using what we call a half-spectral representation. The half-spectral representation of a covariance function, $K$, is a special case of standard spectral representations. In addition to the introduction of two new model classes, we also develop desirable theoretical properties of certain half-spectral forms. In particular, for a half-spectral model, $K$, we determine spatial and temporal mean-square differentiability properties of a Gaussian process governed by $K$, and we determine whether or not the spectral density of $K$ meets a regularity condition motivated by a screening effect analysis. We fit models we develop in this paper to a wind power dataset, and we show our models fit these data better than other separable and non-separable space-time models." @default.
• W2255491480 created "2016-06-24" @default.
• W2255491480 creator A5048936466 @default.
• W2255491480 creator A5072935583 @default.
• W2255491480 date "2015-05-06" @default.
• W2255491480 modified "2023-09-26" @default.
• W2255491480 title "Half-Spectral Space-Time Covariance Models" @default.
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• W2255491480 hasPublicationYear "2015" @default.
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