LAD variable selection for linear models with randomly censored data

Zhangong Zhou; Rong Jiang; Weimin Qian

doi:10.1007/s00184-012-0387-7

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LAD variable selection for linear models with randomly censored data

Zhangong Zhou Rong Jiang Weimin Qian

Year: 2012 Journal: Metrika Vol: 76 (2)Pages: 287-300 Publisher: Springer Science+Business Media

DOI: 10.1007/s00184-012-0387-7

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Keywords:

Mathematics Censoring (clinical trials) Estimator Lasso (programming language) Least absolute deviations Statistics Feature selection Consistency (knowledge bases) Selection (genetic algorithm) Oracle Linear model Applied mathematics Computer science Artificial intelligence

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Spatial and Panel Data Analysis

Social Sciences → Economics, Econometrics and Finance → Economics and Econometrics

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

LAD variable selection for linear models with randomly censored data

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