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A new comparison theorem on conditional quantiles
Authors:Dao-Hong Xiang
Affiliation:
  • Department of Mathematics, Zhejiang Normal University, Jinhua, Zhejiang 321004, China
  • Abstract:This paper studies the conditional quantile regression problem involving the pinball loss. We introduce a concept of τ-quantile of p-average logarithmic type q to complement the previous study by Steinwart and Christman (2008, 2011) [1] and [2]. A new comparison theorem is provided which can be used for further error analysis of some learning algorithms.
    Keywords:Quantile regression   Pinball loss   Comparison theorem   Learning theory   Generalization error
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