Vecchia approximations of Gaussian-process predictions

Gaussian processes (GPs) are highly flexible function estimators used for geospatial analysis, nonparametric regression, and machine learning, but they are computationally infeasible for large datasets. Vecchia approximations of GPs have been used to enable fast evaluation of the likelihood for para...

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Veröffentlicht in:	arXiv.org 2020-05
Hauptverfasser:	Katzfuss, Matthias, Guinness, Joseph, Gong, Wenlong, Zilber, Daniel
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation Chlorophyll Computation Fluorescence Gaussian process Geographic information systems Machine learning Predictions Regression analysis Spatial analysis Statistics - Computation Statistics - Methodology
Online-Zugang:	Volltext
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