Kernel density classification for spherical data

Marco Di Marzio, Stefania Fensore, Agnese Panzera and Charles C. Taylor

Statistics & Probability Letters, 2019, vol. 144, issue C, 23-29

Abstract: Classifying observations coming from two different spherical populations by using a nonparametric method appears to be an unexplored field, although clearly worth to pursue. We propose some decision rules based on spherical kernel density estimation and we provide asymptotic L2 properties. A real-data application using global climate data is finally discussed.

Keywords: Classification; Directional data; Nonparametric methods (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (4)

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DOI: 10.1016/j.spl.2018.07.018

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