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dc.contributor.authorAgarwal, Anish
dc.contributor.authorShah, Devavrat
dc.contributor.authorShen, Dennis
dc.contributor.authorSong, Dogyoon
dc.date.accessioned2022-07-20T13:23:35Z
dc.date.available2022-07-20T13:23:35Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/143874
dc.language.isoen
dc.publisherInforma UK Limiteden_US
dc.relation.isversionof10.1080/01621459.2021.1928513en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleOn Robustness of Principal Component Regressionen_US
dc.typeArticleen_US
dc.identifier.citationAgarwal, Anish, Shah, Devavrat, Shen, Dennis and Song, Dogyoon. 2021. "On Robustness of Principal Component Regression." Journal of the American Statistical Association, 116 (536).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.relation.journalJournal of the American Statistical Associationen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-07-20T13:18:19Z
dspace.orderedauthorsAgarwal, A; Shah, D; Shen, D; Song, Den_US
dspace.date.submission2022-07-20T13:18:22Z
mit.journal.volume116en_US
mit.journal.issue536en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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