A new comparison theorem on conditional quantiles

https://doi.org/10.1016/j.aml.2011.05.048Get rights and content
Under an Elsevier user license
open archive

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], [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

Cited by (0)