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Penalized empirical likelihood inference for sparse additive hazards regression with a diverging number of covariates.

Shanshan WangLiming Xiang
Published in: Stat. Comput. (2017)
Keyphrases
  • regression model
  • small number
  • maximum likelihood
  • canonical correlation analysis
  • model selection
  • data sets
  • neural network
  • machine learning
  • pairwise
  • genetic programming
  • sparse representation
  • logistic regression