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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Confidence Intervals for High-Dimensional Partially Linear Single-Index Models

SSRN Electronic Journal ◽

10.2139/ssrn.2770528 ◽

2016 ◽

Author(s):

Thomas Gueuning

Keyword(s):

Confidence Intervals ◽

High Dimensional ◽

Single Index ◽

Partially Linear ◽

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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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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Confidence intervals for high-dimensional partially linear single-index models

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2016.03.007 ◽

2016 ◽

Vol 149 ◽

pp. 13-29 ◽

Author(s):

Thomas Gueuning ◽

Gerda Claeskens

Keyword(s):

Confidence Intervals ◽

High Dimensional ◽

Single Index ◽

Partially Linear ◽

Single Index Models

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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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Integrated conditional moment test for partially linear single index models incorporating dimension-reduction

Electronic Journal of Statistics ◽

10.1214/14-ejs893 ◽

2014 ◽

Vol 8 (1) ◽

pp. 523-542 ◽

Author(s):

Shujie Ma ◽

Jun Zhang ◽

Zihua Sun ◽

Hua Liang

Keyword(s):

Dimension Reduction ◽

Conditional Moment ◽

Single Index ◽

Partially Linear ◽

Single Index Models

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Robust direction identification and variable selection in high dimensional general single-index models

Journal of the Korean Statistical Society ◽

10.1016/j.jkss.2015.04.001 ◽

2015 ◽

Vol 44 (4) ◽

pp. 606-618 ◽

Author(s):

Kangning Wang

Keyword(s):

Variable Selection ◽

High Dimensional ◽

Single Index ◽

Single Index Models

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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 ◽

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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