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Censored Quantile Regression in Reproducing Kernel Hilbert Space

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Publication:2960525
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DOI10.5705/ss.202014.0071zbMath1468.62275OpenAlexW2576307407WikidataQ57428995 ScholiaQ57428995MaRDI QIDQ2960525

Yichao Wu, Seung Jun Shin, Hao Helen Zhang

Publication date: 17 February 2017

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5705/ss.202014.0071


zbMATH Keywords

conditional survival functioncensored kernel quantile regressionsolution surface


Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric estimation (62G05) Censored data models (62N01) Hilbert spaces with reproducing kernels (= (proper) functional Hilbert spaces, including de Branges-Rovnyak and other structured spaces) (46E22) Reliability and life testing (62N05)


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The regularization paths for the ROC-optimizing support vector machines ⋮ Regularized linear censored quantile regression ⋮ Principal quantile regression for sufficient dimension reduction with heteroscedasticity ⋮ A quantile‐slicing approach for sufficient dimension reduction with censored responses



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