On Robustness of Principal Component Regression

Bibliographic Details
Main Authors: Agarwal, Anish, Shah, Devavrat, Shen, Dennis, Song, Dogyoon
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Informa UK Limited 2022
Online Access:https://hdl.handle.net/1721.1/143874
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author Agarwal, Anish
Shah, Devavrat
Shen, Dennis
Song, Dogyoon
author2 Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
author_facet Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Agarwal, Anish
Shah, Devavrat
Shen, Dennis
Song, Dogyoon
author_sort Agarwal, Anish
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spelling mit-1721.1/1438742023-12-08T19:44:12Z On Robustness of Principal Component Regression Agarwal, Anish Shah, Devavrat Shen, Dennis Song, Dogyoon Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science 2022-07-20T13:23:35Z 2022-07-20T13:23:35Z 2021 2022-07-20T13:18:19Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/143874 Agarwal, Anish, Shah, Devavrat, Shen, Dennis and Song, Dogyoon. 2021. "On Robustness of Principal Component Regression." Journal of the American Statistical Association, 116 (536). en 10.1080/01621459.2021.1928513 Journal of the American Statistical Association Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Informa UK Limited arXiv
spellingShingle Agarwal, Anish
Shah, Devavrat
Shen, Dennis
Song, Dogyoon
On Robustness of Principal Component Regression
title On Robustness of Principal Component Regression
title_full On Robustness of Principal Component Regression
title_fullStr On Robustness of Principal Component Regression
title_full_unstemmed On Robustness of Principal Component Regression
title_short On Robustness of Principal Component Regression
title_sort on robustness of principal component regression
url https://hdl.handle.net/1721.1/143874
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