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Spatial process models popular in geostatistics often represent the observed data as the sum of a smooth underlying process and white noise.
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Huann-Sheng Chen, Douglas G. Simpson, and Zhiliang Ying · 2000
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Inconsistent estimation and asymptotically equal interpolations in model-based geostatistics
Hao Zhang · 2004
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Towards reconciling two asymptotic frameworks in spatial statistics
Hao Zhang and Dale L Zimmerman · 2005
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Covariance tapering for interpolation of large spatial datasets
Reinhard Furrer, Marc G Genton, and Douglas Nychka · 2006
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Hao Zhang · 2012
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Practical methods of optimization
Roger Fletcher · 2013
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Approximation of eigenfunctions in kernel-based spaces
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Sudipto Banerjee · 2017
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Approximation beats concentration? An approximation view on inference with smooth radial kernels
Mikhail Belkin · 2018
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