NDLI: Nonparametric Spatial Prediction

Content Provider	Springer Nature Link
Author	Biau, Gérard Cadre, Beît
Copyright Year	2004
Abstract	Let (ℕ)$^{ N }$ be the integer lattice points in the N-dimensional Euclidean space. We define a nonparametric spatial predictor for the values of a random field indexed by (ℕ)$^{ N }$ using a kernel method. We first examine the general problem of the regression estimation for random fields. Then we show the uniform consistency on compact sets of our spatial predictor as well as its asymptotic normality.
Starting Page	327
Ending Page	349
Page Count	23
File Format	PDF
ISSN	13870874
Journal	Statistical Inference for Stochastic Processes
Volume Number	7
Issue Number	3
e-ISSN	15729311
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2004-01-01
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Probability Theory and Stochastic Processes
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability

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Nonparametric Spatial Prediction