Article ID Journal Published Year Pages File Type
5129668 Statistics & Probability Letters 2017 8 Pages PDF
Abstract

We consider a new kernel rule of classification for spatially dependent data. This nonparametric rule allows for the classification of missing observations. We investigate the consistency of this classification rule and we propose a method for bandwidth selection.

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Physical Sciences and Engineering Mathematics Statistics and Probability
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On the consistency of a new kernel rule for spatially dependent data
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