We discuss nonparametric methods to address the problem of classification for directional data. We focus on local regression and kernel density estimation when the domain is the unit circle. We provide asymptotic theory for the proposed methods along with simulation results.
Nonparametric classification for directional data / Marco Di Marzio, ; Stefania, Fensore; Agnese, Panzera; Taylor, Charles C.. - ELETTRONICO. - (2017), pp. 371-378. (Intervento presentato al convegno SIS 2017 Statistics and Data Science: new challenges, new generations).
Nonparametric classification for directional data
Agnese Panzera
;
2017
Abstract
We discuss nonparametric methods to address the problem of classification for directional data. We focus on local regression and kernel density estimation when the domain is the unit circle. We provide asymptotic theory for the proposed methods along with simulation results.
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