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For: Li Y, Li G, Lian H, Tong T. Profile forward regression screening for ultra-high dimensional semiparametric varying coefficient partially linear models. J MULTIVARIATE ANAL 2017;155:133-50. [DOI: 10.1016/j.jmva.2016.12.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Number Cited by Other Article(s)
1
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]
2
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]
3
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]
4
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]
5
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]
6
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]
7
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]
8
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]
9
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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