Gaussian Processes for Machine Learning

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Mathematical analysis Statistical theory Probability theory Normal distribution Single-equation methods Stable distributions Estimation theory Geostatistics Gaussian process Kriging Linear regression Bayesian linear regression		Gaussian Processes for Machine Learning Add to Reading List Source URL: www.gaussianprocess.org Download Document from Source Website File Size: 455,98 KB Share Document on Facebook

	Spatial Gaussian Process (GP) models for Massive Geostatistical Datasets Spatial Gaussian Process (GP) models—subsume kriging—for point-referenced geospatial datasets provide a statistically valid framework for predi DocID: 1sJDW - View Document
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	CSIRO PUBLISHING www.publish.csiro.au/journals/ajsr Australian Journal of Soil Research, 2003, 41, 1403–1422 DocID: 1rftp - View Document