Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Penalized Principal Logistic Regression for Sparse Sufficient Dimension Reduction

Full metadata record
DC Field Value Language
dc.contributor.authorSeung Jun Shin-
dc.date.accessioned2021-08-28T14:50:05Z-
dc.date.available2021-08-28T14:50:05Z-
dc.date.created2021-04-22-
dc.date.issued2016-08-02-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/28198-
dc.publisherAmerican Statistical Association-
dc.titlePenalized Principal Logistic Regression for Sparse Sufficient Dimension Reduction-
dc.title.alternativePenalized Principal Logistic Regression for Sparse Sufficient Dimension Reduction-
dc.typeConference-
dc.contributor.affiliatedAuthorSeung Jun Shin-
dc.identifier.bibliographicCitationJoint Statistical Meetings 2016 Chicago-
dc.relation.isPartOfJoint Statistical Meetings 2016 Chicago-
dc.relation.isPartOfJSM-
dc.citation.titleJoint Statistical Meetings 2016 Chicago-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceChicago-
dc.citation.conferenceDate2016-07-30-
dc.type.rimsCONF-
dc.description.journalClass1-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Political Science & Economics > Department of Statistics > 2. Conference Papers

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE