Model Building for Random Fields

Authors:
R. H. Glendinning
Affiliations:
-
Venue:
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
Year:
2001

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Abstract

Random fields are used to model spatial data in many application areas. Typical examples are image analysis and agricultural field trials. We focus on the relatively neglected area of model building and draw together its widely dispersed literature, which reflects the aspirations of a wide range of application areas. We include a spatial analogue of predictive least squares which may be of independent interest.