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Comment on “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression”
Journal of the American Statistical Association ( IF 3.0 ) Pub Date : 2020-10-01 , DOI: 10.1080/01621459.2020.1837141 Po-Ling Loh 1
Journal of the American Statistical Association ( IF 3.0 ) Pub Date : 2020-10-01 , DOI: 10.1080/01621459.2020.1837141 Po-Ling Loh 1
Affiliation
ISSN: (Print) (Online) Journal homepage: https://www.tandfonline.com/loi/uasa20 Comment on “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression” Po-Ling Loh To cite this article: Po-Ling Loh (2020) Comment on “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression”, Journal of the American Statistical Association, 115:532, 1715-1716, DOI: 10.1080/01621459.2020.1837141 To link to this article: https://doi.org/10.1080/01621459.2020.1837141
中文翻译：
评论“一种无需调整的稳健高效的高维回归方法”
ISSN：（印刷）（在线）期刊主页：https://www.tandfonline.com/loi/uasa20 评论“A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression” Po-Ling Loh 引用这篇文章： Po-Ling Loh (2020) 评论“A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression”，Journal of the American Statistical Association, 115:532, 1715-1716, DOI: 10.1080/01621459.2020.18 to link to link本文：https://doi.org/10.1080/01621459.2020.1837141
更新日期：2020-10-01
中文翻译：
评论“一种无需调整的稳健高效的高维回归方法”
ISSN：（印刷）（在线）期刊主页：https://www.tandfonline.com/loi/uasa20 评论“A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression” Po-Ling Loh 引用这篇文章： Po-Ling Loh (2020) 评论“A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression”，Journal of the American Statistical Association, 115:532, 1715-1716, DOI: 10.1080/01621459.2020.18 to link to link本文：https://doi.org/10.1080/01621459.2020.1837141
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