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Journal of Applied Statistics Volume 50, 2023 - Issue 3: Statistical Approaches for Big Data and Machine Learning
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Model estimation and selection for partial linear varying coefficient EV models with longitudinal data

Mingtao Zhaoa School of Statistics and Applied Mathematics Anhui University of Finance & Economics, Bengbu, People's Republic of ChinaView further author information
,
Xiaoli Xub School of Management Science and Engineering, Anhui University of Finance & Economics, Bengbu, People's Republic of ChinaView further author information
,
Yanling Zhua School of Statistics and Applied Mathematics Anhui University of Finance & Economics, Bengbu, People's Republic of ChinaView further author information
,
Kongsheng Zhanga School of Statistics and Applied Mathematics Anhui University of Finance & Economics, Bengbu, People's Republic of ChinaView further author information
&
Yan Zhouc College of Mathematics and Statistics, Institute of Statistical Sciences, Shenzhen Key Laboratory of Advanced Machine Learning and Applications, Shenzhen University, Shenzhen, People's Republic of ChinaCorrespondence[email protected]
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Pages 512-534 | Received 29 Sep 2020, Accepted 05 Mar 2021, Published online: 23 Mar 2021

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Read on this site (1)

Yichuan Zhao, Chi-Hua Chen, Feng Feng & Dragan Pamucar. (2023) Editorial to the special issue: Statistical Approaches for Big Data and Machine Learning. Journal of Applied Statistics 50:3, pages 451-455.
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Articles from other publishers (2)

Yan Zhou, Ruoxi Mei, Yichuan Zhao, Zongliang Hu & Mingtao Zhao. (2024) Orthogonality-based bias-corrected empirical likelihood inference for partial linear varying coefficient EV models with longitudinal data. Journal of Computational and Applied Mathematics 443, pages 115751.
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Hong-Xia Xu, Guo-Liang Fan & Han-Ying Liang. (2023) Quantile regression for varying-coefficient partially nonlinear models with randomly truncated data. Statistical Papers.
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