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Variable selection in finite mixture of median regression models using skew-normal distribution
Publication type: Journal Article
Publication date: 2022-08-06
scimago Q3
wos Q2
SJR: 0.319
CiteScore: 1.2
Impact factor: 1.3
ISSN: 24754269, 24754277
Statistics and Probability
Computational Theory and Mathematics
Applied Mathematics
Statistics, Probability and Uncertainty
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Zeng X. et al. Variable selection in finite mixture of median regression models using skew-normal distribution // Statistical Theory and Related Fields. 2022. pp. 1-15.
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Zeng X., Ju Y., Wu L. Variable selection in finite mixture of median regression models using skew-normal distribution // Statistical Theory and Related Fields. 2022. pp. 1-15.
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TY - JOUR
DO - 10.1080/24754269.2022.2107974
UR - https://doi.org/10.1080/24754269.2022.2107974
TI - Variable selection in finite mixture of median regression models using skew-normal distribution
T2 - Statistical Theory and Related Fields
AU - Zeng, Xin
AU - Ju, Yuanyuan
AU - Wu, Liucang
PY - 2022
DA - 2022/08/06
PB - Taylor & Francis
SP - 1-15
SN - 2475-4269
SN - 2475-4277
ER -
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BibTex (up to 50 authors)
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@article{2022_Zeng,
author = {Xin Zeng and Yuanyuan Ju and Liucang Wu},
title = {Variable selection in finite mixture of median regression models using skew-normal distribution},
journal = {Statistical Theory and Related Fields},
year = {2022},
publisher = {Taylor & Francis},
month = {aug},
url = {https://doi.org/10.1080/24754269.2022.2107974},
pages = {1--15},
doi = {10.1080/24754269.2022.2107974}
}