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자연과학대학
통계학전공
Journal papers
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Fused sliced average variance estimation
Title
Fused sliced average variance estimation
Authors
An H.
;
Won S.
;
Yoo J.K.
Ewha Authors
유재근
SCOPUS Author ID
유재근
Issue Date
2017
Journal Title
Journal of the Korean Statistical Society
ISSN
1226-3192
Citation
Journal of the Korean Statistical Society vol. 46, no. 4, pp. 623 - 628
Keywords
Fusing
;
Inverse regression
;
Sliced average variance estimation
;
Sufficient dimension reduction
Publisher
Korean Statistical Society
Indexed
SCIE; SCOPUS; KCI
Document Type
Article
Abstract
In this paper, we propose an approach to combine the kernel matrices constructed by sliced average variance estimation (SAVE) with various numbers of slices. The proposed approach is called fused sliced average variance estimation (FSAVE). By fusing the information by usual SAVE applications with different slice numbers, the sensitivity to slices can be reduced, so the structural dimension estimation can be improved. Numerical studies confirm this, and a real data analysis is presented. © 2017 The Korean Statistical Society
DOI
10.1016/j.jkss.2017.06.003
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