Semivarying coefficient least-squares support vector regression for analyzing high-dimensional gene-environmental data-Reference-Cited by-同舟云学术

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Semivarying coefficient least-squares support vector regression for analyzing high-dimensional gene-environmental data

Published:2017-09-05 Issue:8 Volume:45 Page:1370-1381
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Shim Jooyong¹,Hwang Changha²,Jeong Sunjoo³,Sohn Insuk⁴^ORCID

Affiliation:

1. Institute of Statistical Information, Department of Statistics, Inje University, Kyungnam, South Korea

2. Department of Applied Statistics, Dankook University, Gyeonggido, South Korea

3. Department of Bioconvergent Science and Technology, Dankook University, Gyeonggido, South Korea

4. Statistics and Data Center, Samsung Medical Center, Seoul, South Korea

Funder

National Research Foundation of Korea

Ministry of Education, Science and Technology

the Human Resources Program in Energy Technology of the Korea Institute of Energy Technology Evaluation and Planning

Dankook University

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2017.1371676

Reference20 articles.

1. Smoothing noisy data with spline functions

2. Adaptive semi-varying coefficient model selection

3. Empirical likelihood for nonparametric parts in semiparametric varying-coefficient partially linear models

4. Gene–environment interactions in human diseases

Cited by 3 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. Remaining useful life prediction of lithium-ion batteries combined with SVD-SDAE and support vector quantile regression;Discover Energy;2024-03-27

2. Gene–Environment Interaction: A Variable Selection Perspective;Methods in Molecular Biology;2021

3. Robust gene–environment interaction analysis using penalized trimmed regression;Journal of Statistical Computation and Simulation;2018-09-19

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