Variable Selection for High-Dimensional Heteroscedastic Regression and Its Applications

Publication type: Journal Article
Publication date: 2025-03-03
Taylor & Francis
scimago Q1
wos Q1
SJR: 1.241
CiteScore: 3.4
Impact factor: 1.8
ISSN: 10618600, 15372715
Found 

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
0
Share
Cite this
GOST |
Cite this
GOST Copy
Peng P. et al. Variable Selection for High-Dimensional Heteroscedastic Regression and Its Applications // Journal of Computational and Graphical Statistics. 2025. pp. 1-11.
GOST all authors (up to 50) Copy
Peng P., Chiou H., Huang H., Ing C. K. Variable Selection for High-Dimensional Heteroscedastic Regression and Its Applications // Journal of Computational and Graphical Statistics. 2025. pp. 1-11.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1080/10618600.2025.2450449
UR - https://www.tandfonline.com/doi/full/10.1080/10618600.2025.2450449
TI - Variable Selection for High-Dimensional Heteroscedastic Regression and Its Applications
T2 - Journal of Computational and Graphical Statistics
AU - Peng, Po-Hsiang
AU - Chiou, Hai-Tang
AU - Huang, Hsueh-Han
AU - Ing, Ching Kang
PY - 2025
DA - 2025/03/03
PB - Taylor & Francis
SP - 1-11
SN - 1061-8600
SN - 1537-2715
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2025_Peng,
author = {Po-Hsiang Peng and Hai-Tang Chiou and Hsueh-Han Huang and Ching Kang Ing},
title = {Variable Selection for High-Dimensional Heteroscedastic Regression and Its Applications},
journal = {Journal of Computational and Graphical Statistics},
year = {2025},
publisher = {Taylor & Francis},
month = {mar},
url = {https://www.tandfonline.com/doi/full/10.1080/10618600.2025.2450449},
pages = {1--11},
doi = {10.1080/10618600.2025.2450449}
}