LAD-Lasso variable selection for doubly censored median regression models

DOI10.1080/03610926.2014.904357zbMath1342.62159OpenAlexW2345675161MaRDI QIDQ5739180

Xiuqing Zhou, Guoxiang Liu

Publication date: 15 July 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2014.904357

zbMATH Keywords

doubly censored dataoracle propertymedian regression modelLAD-Lasso

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Estimation in survival analysis and censored data (62N02)

Related Items (2)

Variable selection in finite mixture of median regression models using skew-normal distribution ⋮ High-Dimensional Censored Regression via the Penalized Tobit Likelihood

Cites Work

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• Non-parametric hypothesis testing and confidence intervals with doubly censored data
• LAD variable selection for linear models with randomly censored data
• Simple resampling methods of approximating the distribution of LAD estimators for doubly censored regression models
• On the ``degrees of freedom of the lasso
• LAD estimation for nonlinear regression models with randomly censored data
• Methods of Statistical Inference for Median Regression Models with Doubly Censored Data
• Regression Quantiles
• LAD Estimation for Multiple Regression Models with Doubly Censored Data

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