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Zhu N, You J, Huang T. Two-stage local rank estimation for generalised partially linear varying-coefficient models. J Nonparametr Stat 2022. [DOI: 10.1080/10485252.2022.2070163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Nenghui Zhu
- School of Mathematics and Statistics, Xiamen University of Technology, Xiamen, People's Republic of China
| | - Jinhong You
- School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, People's Republic of China
| | - Tao Huang
- School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, People's Republic of China
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2
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Zhang J, Gai Y. Linear regression models with general distortion measurement errors. COMMUN STAT-SIMUL C 2021. [DOI: 10.1080/03610918.2019.1622723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Jun Zhang
- College of Mathematics and Statistics, Institute of Statistical Sciences, Shenzhen University, Shenzhen China
| | - Yujie Gai
- School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, China
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3
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Yuan Y, Zhou Y. Adaptive-weighted estimation of semi-varying coefficient models with heteroscedastic errors. J STAT COMPUT SIM 2021. [DOI: 10.1080/00949655.2021.1914616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Yuze Yuan
- College of Mathematics and Data Science, Minjiang University, Fuzhou, People's Republic of China
| | - Yong Zhou
- College of Mathematics and Computer Science, Fuzhou University , Fuzhou, People's Republic of China
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4
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Zhang J, Zhang J, Feng Z, Guo X. Residuals based Kolmogorov-Smirnov and Cramér-von Mises tests for varying coefficient models. COMMUN STAT-SIMUL C 2020. [DOI: 10.1080/03610918.2018.1506031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Jun Zhang
- College of Mathematics and Statistics, Institute of Statistical Sciences, Shenzhen-Hong Kong Joint Research Center for Applied Statistical Sciences, Shenzhen University, Shenzhen, China
| | - Jing Zhang
- College of Mathematics and Statistics, Shenzhen University, Shenzhen, China
| | - Zhenghui Feng
- School of Economics, and the Wang Yanan Institute for Studies in Economics, Xiamen University, Xiamen, China
| | - Xu Guo
- School of Statistics, Beijing Normal University, Beijing, China
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5
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Wang BH, Liang HY. Empirical likelihood in varying-coefficient quantile regression with missing observations. COMMUN STAT-THEOR M 2020. [DOI: 10.1080/03610926.2020.1747629] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- Bao-Hua Wang
- School of Mathematical Sciences, Tongji University, Shanghai, P. R. China
| | - Han-Ying Liang
- School of Mathematical Sciences, Tongji University, Shanghai, P. R. China
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6
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Liu Y, Lin L. Classification with minimum ambiguity under distribution heterogeneity. J STAT COMPUT SIM 2019. [DOI: 10.1080/00949655.2019.1615063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Yongxin Liu
- Zhongtai Securities Institute for Financial Studies, Shandong University, Jinan, People's Republic of China
| | - Lu Lin
- Zhongtai Securities Institute for Financial Studies, Shandong University, Jinan, People's Republic of China
- School of Statistics, Qufu Normal University, Qufu, People's Republic of China
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7
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Nonparametric independence screening for ultra-high dimensional generalized varying coefficient models with longitudinal data. J MULTIVARIATE ANAL 2019. [DOI: 10.1016/j.jmva.2018.11.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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8
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Wang Z, Xue L. Variance estimation for sparse ultra-high dimensional varying coefficient models. COMMUN STAT-THEOR M 2019. [DOI: 10.1080/03610926.2018.1429627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Zhaoliang Wang
- College of Applied Sciences, Beijing University of Technology, Beijing, China
- School of Mathematics and Information Science, Henan Polytechnic University, Jiaozuo, China
| | - Liugen Xue
- College of Applied Sciences, Beijing University of Technology, Beijing, China
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9
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Wang Z, Xue L, Li G, Lu F. Spline estimator for ultra-high dimensional partially linear varying coefficient models. ANN I STAT MATH 2018. [DOI: 10.1007/s10463-018-0654-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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