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文章基本信息

  • 标题:A cocktail algorithm for solving the elastic net penalized Cox’s regression in high dimensions
  • 作者:Yi Yang ; Hui Zou
  • 期刊名称:Statistics and Its Interface
  • 印刷版ISSN:1938-7989
  • 电子版ISSN:1938-7997
  • 出版年度:2013
  • 卷号:6
  • 期号:2
  • 页码:167-173
  • DOI:10.4310/SII.2013.v6.n2.a1
  • 出版社:International Press
  • 摘要:We introduce a cocktail algorithm, a good mixture of coordinate decent, the majorization-minimization principle and the strong rule, for computing the solution paths of the elastic net penalized Cox’s proportional hazards model. The cocktail algorithm enjoys a proven convergence property. We have implemented the cocktail algorithm in an R package fastcox. Numerical examples show that cocktail is comparable to coxnet in speed and often delivers better quality solutions.
  • 关键词:Cox’s model; coordinate descent; elastic net; MM principle; strong rule
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