Spatial kernel regression estimation: weak consistency.

By Zudi Lu, Xing Chen. 2004

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How researchers see this paper

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Local linear spatial regression (2004, background): “…f of a random field of the form {Xi; i ∈ ZN}, or the prediction problem but, to the best of our knowledge, the only results available on the estimation of spatial regression functions are those by Lu and Chen (2002, 2004), who investigate the properties of a Nadaraya–Watson kernel estimator for g.”
Local linear spatial quantile regression (2009, background): “Several recent papers (among which [8,22,23,48,49] deal with the related problem of estimating the density f of a random field of the form {Xi; i ∈ Z }, whereas [19,24,35,36] consider the estimation of spatial mean regression functions).”
Kernel regression estimation for continuous spatial processes (2007, unknown): “Except some papers, Biau and Cadre [5], Lu and Chen [33, 34 ], Hallin, Lu, and Tran [27], Carbon, Francq, and Tran [12], little attention has been paid to estimate spatial regression functions nonparametrically.”