A new comparison theorem on conditional quantiles

DOI10.1016/J.AML.2011.05.048zbMath1358.62043OpenAlexW1993927888MaRDI QIDQ656698

Dao-Hong Xiang

Publication date: 13 January 2012

Published in: Applied Mathematics Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.aml.2011.05.048

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Order statistics; empirical distribution functions (62G30)

Related Items (3)

Analysis of approximation by linear operators on variable \(L_\rho^{p(\cdot)}\) spaces and applications in learning theory ⋮ Convergence rate of SVM for kernel-based robust regression ⋮ Comparison theorems on large-margin learning

Cites Work

• Unnamed Item
• Estimating conditional quantiles with the help of the pinball loss
• Multi-kernel regularized classifiers
• ONLINE LEARNING WITH MARKOV SAMPLING
• SVM Soft Margin Classifiers: Linear Programming versus Quadratic Programming

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