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Statistics
A Journal of Theoretical and Applied Statistics
Volume 51, 2017 - Issue 6
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Original Articles

Quantile regression in functional linear semiparametric model

Tang QingguoSchool of Economics and Management, Nanjing University of Science and Technology, Nanjing, People's Republic of ChinaCorrespondence[email protected]
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Linglong KongDepartment of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, CanadaView further author information
Pages 1342-1358 | Received 21 Mar 2016, Accepted 24 Feb 2017, Published online: 16 Mar 2017

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Yafei Wang, Linglong Kong, Bei Jiang, Xingcai Zhou, Shimei Yu, Li Zhang & Giseon Heo. (2019) Wavelet-based LASSO in functional linear quantile regression. Journal of Statistical Computation and Simulation 89:6, pages 1111-1130.
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Articles from other publishers (3)

Xingcai Zhou & Yu Xiang. (2022) ADMM-Based Differential Privacy Learning for Penalized Quantile Regression on Distributed Functional Data. Mathematics 10:16, pages 2954.
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Hanbing Zhu, Yehua Li, Baisen Liu, Weixin Yao & Riquan Zhang. (2021) Extreme quantile estimation for partial functional linear regression models with heavy‐tailed distributions. Canadian Journal of Statistics 50:1, pages 267-286.
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Ping Yu, Ting Li, Zhong Yi Zhu & Jian Hong Shi. (2021) Composite Quantile Estimation in Partial Functional Linear Regression Model Based on Polynomial Spline. Acta Mathematica Sinica, English Series 37:10, pages 1627-1644.
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