한국통계학회:학술대회논문집 (Proceedings of the Korean Statistical Society Conference)
- 한국통계학회 2002년도 춘계 학술발표회 논문집
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- Pages.1-5
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- 2002
Optimal bandwidth in nonparametric classification between two univariate densities
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- 강기훈
- Hall, Peter (Centre for Mathematics and its Applications, Australian National University) ;
- Kang, Kee-Hoon (Department of Statistics, Hankuk University of Foreign Studies)
- 발행 : 2002.05.24
초록
We consider the problem of optimal bandwidth choice for nonparametric classification, based on kernel density estimators, where the problem of interest is distinguishing between two univariate distributions. When the densities intersect at a single point, optimal bandwidth choice depends on curvatures of the densities at that point. The problem of empirical bandwidth selection and classifying data in the tails of a distribution are also addressed.
키워드