当前位置:
X-MOL 学术
›
J. Am. Stat. Assoc.
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Discussion of “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression”
Journal of the American Statistical Association ( IF 3.7 ) Pub Date : 2020-10-01 , DOI: 10.1080/01621459.2020.1837139 Xiudi Li 1 , Ali Shojaie 1
Journal of the American Statistical Association ( IF 3.7 ) Pub Date : 2020-10-01 , DOI: 10.1080/01621459.2020.1837139 Xiudi Li 1 , Ali Shojaie 1
Affiliation
ISSN: (Print) (Online) Journal homepage: https://www.tandfonline.com/loi/uasa20 Discussion of “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression” Xiudi Li & Ali Shojaie To cite this article: Xiudi Li & Ali Shojaie (2020) Discussion of “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression”, Journal of the American Statistical Association, 115:532, 1717-1719, DOI: 10.1080/01621459.2020.1837139 To link to this article: https://doi.org/10.1080/01621459.2020.1837139
中文翻译:
讨论“一种无调谐鲁棒有效的高维回归方法”
ISSN:(印刷)(在线)期刊主页:https://www.tandfonline.com/loi/uasa20 讨论“A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression” Xiudi Li & Ali Shojaie 引用这篇文章: Xiudi Li & Ali Shojaie (2020) 讨论“A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression”,美国统计学会杂志,115:532, 1717-1719, DOI: 10.1080/01621459.83723本文链接:https://doi.org/10.1080/01621459.2020.1837139
更新日期:2020-10-01
中文翻译:
讨论“一种无调谐鲁棒有效的高维回归方法”
ISSN:(印刷)(在线)期刊主页:https://www.tandfonline.com/loi/uasa20 讨论“A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression” Xiudi Li & Ali Shojaie 引用这篇文章: Xiudi Li & Ali Shojaie (2020) 讨论“A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression”,美国统计学会杂志,115:532, 1717-1719, DOI: 10.1080/01621459.83723本文链接:https://doi.org/10.1080/01621459.2020.1837139