Discussion of "A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression". Issue 532 (10th December 2020)

Record Type:: Journal Article
Title:: Discussion of "A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression". Issue 532 (10th December 2020)
Main Title:: Discussion of "A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression"
Authors:: Li, Xiudi
Shojaie, Ali
Abstract:
Is Part Of:: Journal of the American Statistical Association. Volume 115:Issue 532(2020)
Journal:: Journal of the American Statistical Association
Issue:: Volume 115:Issue 532(2020)
Issue Display:: Volume 115, Issue 532 (2020)
Year:: 2020
Volume:: 115
Issue:: 532
Issue Sort Value:: 2020-0115-0532-0000
Page Start:: 1717
Page End:: 1719
Publication Date:: 2020-12-10
Subjects:: Statistics -- Periodicals
Statistics -- Periodicals
Statistiques -- Périodiques
États-Unis -- Statistiques -- Périodiques
519.5
Journal URLs:: http://www.jstor.org/journals/01621459.html ↗
http://www.ingentaconnect.com/content/asa/jasa ↗
http://www.tandfonline.com/loi/uasa20 ↗
http://www.tandfonline.com/ ↗
DOI:: 10.1080/01621459.2020.1837139 ↗
Languages:: English
ISSNs:: 0162-1459
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library DSC - 4694.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store
Ingest File:: 15249.xml