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Composite quantile regression for ultra-high dimensional semiparametric model averaging.

Chaohui GuoJing LvJibo Wu
Published in: Comput. Stat. Data Anal. (2021)
Keyphrases
  • high dimensional
  • low dimensional
  • dimensionality reduction
  • parameter space
  • feature space
  • data points
  • high dimensional data
  • machine learning
  • kernel function
  • variable selection
  • linear model