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A random subset implementation of weighted quantile sum (WQSRS) regression for analysis of high-dimensional mixtures.

Paul CurtinJoshua KelloggNadja CechChris Gennings
Published in: Commun. Stat. Simul. Comput. (2021)
Keyphrases
  • high dimensional
  • data analysis
  • machine learning
  • image analysis
  • model selection
  • neural network
  • objective function
  • least squares
  • low dimensional
  • statistical analysis
  • support vector regression
  • gaussian processes