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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A robust and efficient estimation and variable selection method for partially linear models with large-dimensional covariates

Statistical Papers ◽

10.1007/s00362-018-1013-1 ◽

2018 ◽

Vol 61 (5) ◽

pp. 1911-1937

Author(s):

Hu Yang ◽

Ning Li ◽

Jing Yang

Keyword(s):

Variable Selection ◽

Linear Models ◽

Selection Method ◽

Efficient Estimation ◽

Partially Linear Models ◽

Variable Selection Method ◽

Partially Linear

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BS-SIM: An effective variable selection method for high-dimensional single index model

Electronic Journal of Statistics ◽

10.1214/17-ejs1329 ◽

2017 ◽

Vol 11 (2) ◽

pp. 3522-3548 ◽

Cited By ~ 1

Author(s):

Longjie Cheng ◽

Peng Zeng ◽

Yu Zhu

Keyword(s):

Variable Selection ◽

Selection Method ◽

High Dimensional ◽

Single Index ◽

Index Model ◽

Variable Selection Method ◽

Single Index Model

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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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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 ◽

Cited By ~ 21

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 link-free sparse group variable selection method for single-index model

Journal of Applied Statistics ◽

10.1080/02664763.2016.1254731 ◽

2016 ◽

Vol 44 (13) ◽

pp. 2388-2400 ◽

Cited By ~ 2

Author(s):

Bilin Zeng ◽

Xuerong Meggie Wen ◽

Lixing Zhu

Keyword(s):

Variable Selection ◽

Selection Method ◽

Group Variable Selection ◽

Single Index ◽

Index Model ◽

Variable Selection Method ◽

Single Index Model ◽

Group Variable

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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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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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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 ◽

Cited By ~ 11

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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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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