Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/245288
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dc.titleAn Outer-Product-of-Gradient Approach to Dimension Reduction and Its Application to Classification in High Dimensional Space
dc.contributor.authorZhibo Cai
dc.contributor.authorYingcun Xia
dc.contributor.authorWeiqiang Hang
dc.date.accessioned2023-10-14T02:38:52Z
dc.date.available2023-10-14T02:38:52Z
dc.date.issued2022-04-01
dc.identifier.citationZhibo Cai, Yingcun Xia, Weiqiang Hang (2022-04-01). An Outer-Product-of-Gradient Approach to Dimension Reduction and Its Application to Classification in High Dimensional Space. Journal of the American Statistical Association 118 (543) : 1671-1681. ScholarBank@NUS Repository.
dc.identifier.issn0162-1459
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/245288
dc.publisherTaylor & Francis
dc.sourceTaylor & Francis
dc.typeArticle
dc.contributor.departmentSTATISTICS & APPLIED PROBABILITY
dc.contributor.departmentSTATISTICS AND DATA SCIENCE
dc.description.sourcetitleJournal of the American Statistical Association
dc.description.volume118
dc.description.issue543
dc.description.page1671-1681
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