A globally convergent algorithm for lasso-penalized mixture of linear regression models

标题
A globally convergent algorithm for lasso-penalized mixture of linear regression models
作者
关键词
Lasso, Mixture of linear regressions model, MM algorithm, Major League Baseball
出版物
COMPUTATIONAL STATISTICS & DATA ANALYSIS
Volume 119, Issue -, Pages 19-38
出版商
Elsevier BV
发表日期
2017-09-21
DOI
10.1016/j.csda.2017.09.003

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