Abstract

 


 



A Note on Adaptive Group Lasso


Hansheng Wang


Peking University - Guanghua School of Management

Chenlei Leng


affiliation not provided to SSRN

November 27, 2008

Computational Statistics & Data Analysis, Vol. 52, pp. 5277-5286, 2008

Abstract:     
Group lasso is a natural extension of lasso and selects variables in a grouped manner. However, group lasso suffers from estimation inefficiency and selection inconsistency. To remedy these problems, we propose the adaptive group lasso method. We show theoretically that the new method is able to identify the true model consistently, and the resulting estimator can be as efficient as oracle. Numerical studies confirmed our theoretical findings.

Keywords: Adaptive Group Lasso, Adaptive Lasso, Group Lasso, Lasso

JEL Classification: C5, C51

Accepted Paper Series


Date posted: December 2, 2008  

Suggested Citation

Wang, Hansheng and Leng, Chenlei, A Note on Adaptive Group Lasso (November 27, 2008). Computational Statistics & Data Analysis, Vol. 52, pp. 5277-5286, 2008. Available at SSRN: http://ssrn.com/abstract=1308328

Contact Information

Hansheng Wang (Contact Author)
Peking University - Guanghua School of Management ( email )
Peking University
Beijing, 100871
China
HOME PAGE: http://hansheng.gsm.pku.edu.cn
Chenlei Leng
affiliation not provided to SSRN ( email )
Feedback to SSRN (Beta)


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