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 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 ◽

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 ◽

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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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 ◽

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 estimation for partially linear single-index models with longitudinal data

Statistics and Computing ◽

10.1007/s11222-013-9447-8 ◽

2014 ◽

Vol 25 (3) ◽

pp. 579-593 ◽

Author(s):

Gaorong Li ◽

Peng Lai ◽

Heng Lian

Keyword(s):

Variable Selection ◽

Longitudinal Data ◽

Single Index ◽

Partially Linear ◽

Single Index Models ◽

Variable Selection And Estimation

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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 ◽

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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Bayesian estimation and variable selection for single index models

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2008.12.010 ◽

2009 ◽

Vol 53 (7) ◽

pp. 2617-2627 ◽

Author(s):

Hai-Bin Wang

Keyword(s):

Variable Selection ◽

Bayesian Estimation ◽

Single Index ◽

Selection For ◽

Single Index Models

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B spline variable selection for the single index models

Statistical Papers ◽

10.1007/s00362-015-0721-z ◽

2015 ◽

Vol 58 (3) ◽

pp. 691-706 ◽

Author(s):

Jianbo Li ◽

Yuan Li ◽

Riquan Zhang

Keyword(s):

Variable Selection ◽

B Spline ◽

Single Index ◽

Selection For ◽

Single Index Models

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A dimension reduction based approach for estimation and variable selection in partially linear single-index models with high-dimensional covariates

Electronic Journal of Statistics ◽

10.1214/12-ejs744 ◽

2012 ◽

Vol 6 (0) ◽

pp. 2235-2273 ◽

Author(s):

Jun Zhang ◽

Tao Wang ◽

Lixing Zhu ◽

Hua Liang

Keyword(s):

Variable Selection ◽

Dimension Reduction ◽

High Dimensional ◽

Single Index ◽

Partially Linear ◽

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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