Exploring spatial nonlinearity using additive approximation

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Exploring spatial nonlinearity using additive approximation

We propose to approximate the conditional expectation of a spatial random variable given its nearest neighbour observations by an additive function. The setting is meaningful in practice and requires no unilateral ordering. It is capable of catching nonlinear features in spatial data and exploring l...

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Bibliographic Details
Main Authors:	Lu, Zudi, Lundervold, A., Tjostheim, D., YAO, Qiwei
Format:	Journal Article
Published:	International Statistical Institute/Bernoulli Society 2007
Online Access:	http://isi.cbs.nl/bernoulli/index.htm http://hdl.handle.net/20.500.11937/20467

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