Variable selection for partially linear models via learning gradients | Zendy

Lei Yang | Zendy; Yixin Fang | Zendy; Junhui Wang | Zendy; Yongzhao Shao | Zendy

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Variable selection for partially linear models via learning gradients

Author(s) -

Lei Yang,

Yixin Fang,

Junhui Wang,

Yongzhao Shao

Publication year - 2017

Publication title -

electronic journal of statistics

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 1.482

H-Index - 54

ISSN - 1935-7524

DOI - 10.1214/17-ejs1300

Subject(s) - feature selection , lasso (programming language) , mathematics , linear model , coordinate descent , consistency (knowledge bases) , linear regression , component (thermodynamics) , mathematical optimization , kernel (algebra) , selection (genetic algorithm) , variable (mathematics) , parametric statistics , linear predictor function , machine learning , artificial intelligence , computer science , proper linear model , bayesian multivariate linear regression , statistics , mathematical analysis , physics , geometry , combinatorics , world wide web , thermodynamics

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