Adaptive group Lasso for high-dimensional generalized linear models

Mingqiu Wang; Guo‐Liang Tian

doi:10.1007/s00362-017-0882-z

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Adaptive group Lasso for high-dimensional generalized linear models

Mingqiu Wang Guo‐Liang Tian

Year: 2017 Journal: Statistical Papers Vol: 60 (5)Pages: 1469-1486 Publisher: Springer Science+Business Media

DOI: 10.1007/s00362-017-0882-z

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Keywords:

Lasso (programming language) Consistency (knowledge bases) Sample size determination Group (periodic table) Mathematics Generalized linear model Asymptotic distribution Selection (genetic algorithm) Feature selection Linear model Sample (material) Group selection Statistics Applied mathematics Computer science Artificial intelligence Estimator Discrete mathematics

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Adaptive group Lasso for high-dimensional generalized linear models

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