On the consistency of a new kernel rule for spatially dependent data

Ahmad Younso

Statistics & Probability Letters, 2017, vol. 131, issue C, 64-71

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.

Keywords: Bayes rule; Kernel rule; Random field; Bandwidth; Consistency (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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DOI: 10.1016/j.spl.2017.08.008

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