Efficient estimation and variable selection for partially linear single-index-coefficient regression models

Young-Ju Kim

doi:10.29220/csam.2019.26.1.069

Efficient estimation and variable selection for partially linear single-index-coefficient regression models

Communications for Statistical Applications and Methods ◽

10.29220/csam.2019.26.1.069 ◽

2019 ◽

Vol 26 (1) ◽

pp. 69-78

Author(s):

Young-Ju Kim

Keyword(s):

Variable Selection ◽

Regression Models ◽

Efficient Estimation ◽

Single Index ◽

Partially Linear ◽

Selection For

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A robust and efficient estimation and variable selection method for partially linear single-index models

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2014.04.024 ◽

2014 ◽

Vol 129 ◽

pp. 227-242 ◽

Cited By ~ 5

Author(s):

Hu Yang ◽

Jing Yang

Keyword(s):

Variable Selection ◽

Selection Method ◽

Efficient Estimation ◽

Single Index ◽

Variable Selection Method ◽

Partially Linear ◽

Single Index Models

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Estimation and variable selection for proportional response data with partially linear single-index models

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2015.11.004 ◽

2016 ◽

Vol 96 ◽

pp. 40-56 ◽

Cited By ~ 6

Author(s):

Weihua Zhao ◽

Heng Lian ◽

Riquan Zhang ◽

Peng Lai

Keyword(s):

Variable Selection ◽

Single Index ◽

Response Data ◽

Partially Linear ◽

Selection For ◽

Single Index Models

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Empirical likelihood and variable selection for partially linear single-index EV models with missing censoring indicators

Journal of the Korean Statistical Society ◽

10.1007/s42952-020-00065-6 ◽

2020 ◽

Author(s):

Yuye Zou ◽

Guoliang Fan ◽

Riquan Zhang

Keyword(s):

Variable Selection ◽

Empirical Likelihood ◽

Single Index ◽

Partially Linear ◽

Selection For ◽

Missing Censoring Indicators

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Estimation and variable selection for quantile partially linear single-index models

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2017.09.006 ◽

2017 ◽

Vol 162 ◽

pp. 215-234 ◽

Cited By ~ 3

Author(s):

Yuankun Zhang ◽

Heng Lian ◽

Yan Yu

Keyword(s):

Variable Selection ◽

Single Index ◽

Partially Linear ◽

Selection For ◽

Single Index Models

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Penalized Empirical Likelihood based Variable Selection for Partially Linear Quantile Regression Models with Missing Responses

Hacettepe Journal of Mathematics and Statistics ◽

10.15672/hjms.201614120416 ◽

2016 ◽

Vol 47 (141) ◽

pp. 1-1

Author(s):

Xinrong Tang ◽

Peixin Zhao

Keyword(s):

Variable Selection ◽

Quantile Regression ◽

Empirical Likelihood ◽

Regression Models ◽

Missing Responses ◽

Partially Linear ◽

Selection For ◽

Penalized Empirical Likelihood

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Quantile regression and variable selection for partially linear single-index models with missing censoring indicators

Journal of Statistical Planning and Inference ◽

10.1016/j.jspi.2019.04.008 ◽

2020 ◽

Vol 204 ◽

pp. 80-95

Author(s):

Yuye Zou ◽

Guoliang Fan ◽

Riquan Zhang

Keyword(s):

Variable Selection ◽

Quantile Regression ◽

Single Index ◽

Partially Linear ◽

Selection For ◽

Single Index Models ◽

Missing Censoring Indicators

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Estimation and variable selection for generalised partially linear single-index models

Journal of Nonparametric Statistics ◽

10.1080/10485252.2013.841156 ◽

2013 ◽

Vol 26 (1) ◽

pp. 171-185 ◽

Cited By ~ 2

Author(s):

Peng Lai ◽

Ye Tian ◽

Heng Lian

Keyword(s):

Variable Selection ◽

Single Index ◽

Partially Linear ◽

Selection For ◽

Single Index Models

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Variable selection and semiparametric efficient estimation for the heteroscedastic partially linear single-index model

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2013.09.012 ◽

2014 ◽

Vol 70 ◽

pp. 241-256 ◽

Cited By ~ 8

Author(s):

Peng Lai ◽

Qihua Wang ◽

Xiao-Hua Zhou

Keyword(s):

Variable Selection ◽

Efficient Estimation ◽

Single Index ◽

Index Model ◽

Partially Linear ◽

Single Index Model

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Variable Selection for Semiparametric Partially Linear Covariate-Adjusted Regression Models

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2013.788715 ◽

2014 ◽

Vol 44 (13) ◽

pp. 2809-2826 ◽

Cited By ~ 1

Author(s):

Jiang Du ◽

Gaorong Li ◽

Heng Peng

Keyword(s):

Variable Selection ◽

Regression Models ◽

Partially Linear ◽

Selection For

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Efficient estimation for generalized partially linear single-index models

Bernoulli ◽

10.3150/16-bej873 ◽

2018 ◽

Vol 24 (2) ◽

pp. 1101-1127 ◽

Cited By ~ 2

Author(s):

Li Wang ◽

Guanqun Cao

Keyword(s):

Efficient Estimation ◽

Single Index ◽

Partially Linear ◽

Single Index Models

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