Robust estimation and variable selection in censored partially linear additive models

Huilan Liu; Hu Yang; Xiaochao Xia

doi:10.1016/j.jkss.2016.07.002

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JOURNAL ARTICLE

Robust estimation and variable selection in censored partially linear additive models

Huilan Liu Hu Yang Xiaochao Xia

Year: 2016 Journal: Journal of the Korean Statistical Society Vol: 46 (1)Pages: 88-103 Publisher: Elsevier BV

DOI: 10.1016/j.jkss.2016.07.002

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Keywords:

Mathematics Estimator Additive model Asymptotic distribution Nonparametric statistics Spline (mechanical) Feature selection Applied mathematics Linear model Parametric statistics Model selection Lasso (programming language) Rate of convergence Mathematical optimization Statistics Computer science Artificial intelligence

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Distribution Estimation and Applications

Physical Sciences → Mathematics → Statistics and Probability

Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Robust estimation and variable selection in censored partially linear additive models

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