Open Access
2013 ERM Scheme for Quantile Regression
Dao-Hong Xiang
Abstr. Appl. Anal. 2013(SI32): 1-6 (2013). DOI: 10.1155/2013/148490


This paper considers the ERM scheme for quantile regression. We conduct error analysis for this learning algorithm by means of a variance-expectation bound when a noise condition is satisfied for the underlying probability measure. The learning rates are derived by applying concentration techniques involving the 2 -empirical covering numbers.


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Dao-Hong Xiang. "ERM Scheme for Quantile Regression." Abstr. Appl. Anal. 2013 (SI32) 1 - 6, 2013.


Published: 2013
First available in Project Euclid: 26 February 2014

zbMATH: 1272.68346
MathSciNet: MR3039134
Digital Object Identifier: 10.1155/2013/148490

Rights: Copyright © 2013 Hindawi

Vol.2013 • No. SI32 • 2013
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