High dimensional single index models

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2015.02.007 ◽

2015 ◽

Vol 139 ◽

pp. 266-282 ◽

Cited By ~ 14

Author(s):

Peter Radchenko

Keyword(s):

High Dimensional ◽

Single Index ◽

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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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 ◽

Cited By ~ 2

Author(s):

Thomas Gueuning ◽

Gerda Claeskens

Keyword(s):

Confidence Intervals ◽

High Dimensional ◽

Single Index ◽

Partially Linear ◽

Single Index Models

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Nonconcave penalized inverse regression in single-index models with high dimensional predictors

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2008.09.003 ◽

2009 ◽

Vol 100 (5) ◽

pp. 862-875 ◽

Cited By ~ 32

Author(s):

Li-Ping Zhu ◽

Li-Xing Zhu

Keyword(s):

High Dimensional ◽

Inverse Regression ◽

Single Index ◽

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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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 ◽

Cited By ~ 1

Author(s):

Kangning Wang

Keyword(s):

Variable Selection ◽

High Dimensional ◽

Single Index ◽

Single Index Models

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A hybrid omnibus test for generalized semiparametric single‐index models with high‐dimensional covariate sets

Biometrics ◽

10.1111/biom.13054 ◽

2019 ◽

Vol 75 (3) ◽

pp. 757-767 ◽

Cited By ~ 1

Author(s):

Yangyi Xu ◽

Inyoung Kim ◽

Raymond J. Carroll

Keyword(s):

High Dimensional ◽

Omnibus Test ◽

Single Index ◽

Single Index Models

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Doubly robust and efficient estimators for heteroscedastic partially linear single-index models allowing high dimensional covariates

Journal of the Royal Statistical Society Series B (Statistical Methodology) ◽

10.1111/j.1467-9868.2012.01040.x ◽

2012 ◽

Vol 75 (2) ◽

pp. 305-322 ◽

Cited By ~ 21

Author(s):

Yanyuan Ma ◽

Liping Zhu

Keyword(s):

High Dimensional ◽

Single Index ◽

Partially Linear ◽

Single Index Models ◽

Doubly Robust

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Forward selection and estimation in high dimensional single index models

Statistical Methodology ◽

10.1016/j.stamet.2016.09.002 ◽

2016 ◽

Vol 33 ◽

pp. 172-179 ◽

Cited By ~ 5

Author(s):

Shikai Luo ◽

Subhashis Ghosal

Keyword(s):

High Dimensional ◽

Forward Selection ◽

Single Index ◽

Single Index Models

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