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...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
International Statistical Institute/Bernoulli Society
2007
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| Online Access: | http://isi.cbs.nl/bernoulli/index.htm http://hdl.handle.net/20.500.11937/20467 |