Discussion: One-step sparse estimates in nonconcave penalized likelihood models: Who cares if it is a white cat or a black cat?

• 成果类型: Editorial Material
• 署名作者: Meng, Xiao-Li
• 署名单位: Harvard University
• 刊物名称: ANNALS OF STATISTICS
• ISSN/ISSBN: 0090-5364
• DOI: 10.1214/07-AOS0316B
• 发表日期: 2008
• 页码: 1542-1552
• 关键词: surrogate objective functions; em algorithm; CONVERGENCE