Bayesian prediction of clipped Gaussian
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Victor De Oliveira
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Article
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2000
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Elsevier Science
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English
β 322 KB
This work provides a framework to perform prediction in some types of binary random ΓΏelds. It is assumed the binary random ΓΏeld is obtained by clipping a Gaussian random ΓΏeld at a ΓΏxed level. The model, following a Bayesian approach, is used to map a binary outcome over a bounded region D of the pla