Structural identification and variable selection in high-dimensional varying-coefficient models-Reference-Cited by-同舟云学术

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Structural identification and variable selection in high-dimensional varying-coefficient models

Published:2017-03-20 Issue:2 Volume:29 Page:258-279
ISSN:1048-5252
Container-title:Journal of Nonparametric Statistics
language:en
Short-container-title:Journal of Nonparametric Statistics

Author:

Chen Yuping¹,Bai Yang¹²,Fung Wingkam³

Affiliation:

1. School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, People's Republic of China

2. Key Laboratory of Mathematical Economics (SUFE), Ministry of Education of China

3. Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong

Funder

SUFE Graduate Innovation and Creativity Funds

Shanghai Municipal Education Commission

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10485252.2017.1303057

Reference53 articles.

1. A new look at the statistical model identification

2. Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection

3. Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors

4. Efficient Estimation and Inferences for Varying-Coefficient Models

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Robust Model Structure Recovery for Ultra-High-Dimensional Varying-Coefficient Models;Communications in Mathematics and Statistics;2023-06-16

2. Feature Selection for High-Dimensional Varying Coefficient Models via Ordinary Least Squares Projection;Communications in Mathematics and Statistics;2023-03-31

3. A Penalization Method for Estimating Heterogeneous Covariate Effects in Cancer Genomic Data;Genes;2022-04-15

4. Modified adaptive group lasso for high-dimensional varying coefficient models;Communications in Statistics - Simulation and Computation;2020-08-14

5. Sparse Learning and Structure Identification for Ultrahigh-Dimensional Image-on-Scalar Regression;Journal of the American Statistical Association;2020-05-26

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