Supervised Classification of the Scalar Gaussian Random Field Observations under a Deterministic Spatial Sampling Design
Given training sample, the problem of classifying a scalar Gaussian random field observation into one of two populations specified by different parametric mean models and common parametric covariance function is considered. Such problems are usually called as supervised classification or contextual...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Austrian Statistical Society
2016-02-01
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| Series: | Austrian Journal of Statistics |
| Online Access: | http://www.ajs.or.at/index.php/ajs/article/view/194 |