ADMM for High-Dimensional Sparse Penalized Quantile Regression-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

ADMM for High-Dimensional Sparse Penalized Quantile Regression

Published:2018-05-09 Issue:3 Volume:60 Page:319-331
ISSN:0040-1706
Container-title:Technometrics
language:en
Short-container-title:Technometrics

Author:

Gu Yuwen¹,Fan Jun²,Kong Lingchen²,Ma Shiqian³,Zou Hui⁴

Affiliation:

1. Department of Statistics, University of Connecticut, Storrs, CT

2. Department of Applied Mathematics, Beijing Jiaotong University, Beijing, China

3. Department of Mathematics, University of California, Davis, CA

4. School of Statistics, University of Minnesota, Minneapolis, MN

Funder

National Science Foundation

National Science Foundation of China

The 111 Project of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Modelling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00401706.2017.1345703

Reference50 articles.

1. Limiting Behavior of M-Estimators of Regression Coefficients in High Dimensional Linear Models I. Scale Dependent Case

2. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

3. ℓ1-penalized quantile regression in high-dimensional sparse models

4. A lasso for hierarchical interactions

Cited by 80 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. ARFIS: An adaptive robust model for regression with heavy-tailed distribution;Information Sciences;2025-01

2. Robust Integrative Analysis via Quantile Regression with Homogeneity and Sparsity;Journal of Statistical Planning and Inference;2025-01

3. Robust Inference for Censored Quantile Regression;Journal of Systems Science and Complexity;2024-09-09

4. Multi-block linearized alternating direction method for sparse fused Lasso modeling problems;Applied Mathematical Modelling;2024-09

5. Byzantine-robust and efficient distributed sparsity learning: a surrogate composite quantile regression approach;Statistics and Computing;2024-07-22

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3