Browsing Statistics Faculty Research and Publications by Subject "Sufficient dimension reduction"

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Browsing Statistics Faculty Research and Publications by Subject "Sufficient dimension reduction"

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  • Wang, Qin; Yao, Weixin (2012)
    Minimum average variance estimation (MAVE, Xia et al: 2002) is an effective dimension reduction method. It requires no strong probabilistic assumptions on the predictors, and can consistently estimate the central mean ...
  • Yao, Weixin; Wang, Qin (2013)
    Dimension reduction and variable selection play important roles in high dimensional data analysis. The sparse MAVE, a model-free variable selection method, is a nice combination of shrinkage estimation, Lasso, and an ...