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                                       Details for article 49 of 50 found articles
 
 
  Tuning Parameter Selection Based on Blocked 3×2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$3\times 2$$\end{document} Cross-Validation for High-Dimensional Linear Regression Model
 
 
Title: Tuning Parameter Selection Based on Blocked 3×2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$3\times 2$$\end{document} Cross-Validation for High-Dimensional Linear Regression Model
Author: Yang, Xingli
Wang, Yu
Wang, Ruibo
Chen, Mengmeng
Li, Jihong
Appeared in: Neural processing letters
Paging: Volume 51 () nr. 1 pages 1007-1029
Year: 2019-10-15
Contents:
Publisher: Springer US, New York
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 49 of 50 found articles
 
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