Open AccessVariable 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