Group selection in high-dimensional partially linear additive models

Brazilian Journal of Probability and Statistics ◽

10.1214/10-bjps129 ◽

2012 ◽

Vol 26 (3) ◽

pp. 219-243 ◽

Author(s):

Fengrong Wei

Keyword(s):

Group Selection ◽

Additive Models ◽

High Dimensional ◽

Partially Linear

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Distributed Partially Linear Additive Models With a High Dimensional Linear Part

IEEE Transactions on Signal and Information Processing over Networks ◽

10.1109/tsipn.2021.3111555 ◽

2021 ◽

Vol 7 ◽

pp. 611-625

Author(s):

Yue Wang ◽

Weiping Zhang ◽

Heng Lian

Keyword(s):

Linear Part ◽

Additive Models ◽

High Dimensional ◽

Partially Linear

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A sure independence screening procedure for ultra-high dimensional partially linear additive models

Journal of Applied Statistics ◽

10.1080/02664763.2018.1548583 ◽

2018 ◽

Vol 46 (8) ◽

pp. 1385-1403 ◽

Author(s):

M. Kazemi ◽

D. Shahsavani ◽

M. Arashi

Keyword(s):

Additive Models ◽

Screening Procedure ◽

High Dimensional ◽

Sure Independence Screening ◽

Partially Linear

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Variable selection in high-dimensional partially linear additive models for composite quantile regression

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2013.03.017 ◽

2013 ◽

Vol 65 ◽

pp. 56-67 ◽

Author(s):

Jie Guo ◽

Manlai Tang ◽

Maozai Tian ◽

Kai Zhu

Keyword(s):

Variable Selection ◽

Quantile Regression ◽

Additive Models ◽

High Dimensional ◽

Composite Quantile Regression ◽

Partially Linear

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Penalized empirical likelihood for high-dimensional partially linear varying coefficient model with measurement errors

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2016.01.009 ◽

2016 ◽

Vol 147 ◽

pp. 183-201 ◽

Author(s):

Guo-Liang Fan ◽

Han-Ying Liang ◽

Yu Shen

Keyword(s):

Empirical Likelihood ◽

Measurement Errors ◽

High Dimensional ◽

Varying Coefficient Model ◽

Varying Coefficient ◽

Partially Linear ◽

Penalized Empirical Likelihood

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Generalized additive models for location, scale and shape for high dimensional data-a flexible approach based on boosting

Journal of the Royal Statistical Society Series C (Applied Statistics) ◽

10.1111/j.1467-9876.2011.01033.x ◽

2012 ◽

Vol 61 (3) ◽

pp. 403-427 ◽

Author(s):

Andreas Mayr ◽

Nora Fenske ◽

Benjamin Hofner ◽

Thomas Kneib ◽

Matthias Schmid

Keyword(s):

Generalized Additive Models ◽

High Dimensional Data ◽

Additive Models ◽

High Dimensional ◽

Flexible Approach

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A new test for high‐dimensional regression coefficients in partially linear models

Canadian Journal of Statistics ◽

10.1002/cjs.11665 ◽

2021 ◽

Author(s):

Fanrong Zhao ◽

Nan Lin ◽

Baoxue Zhang

Keyword(s):

Linear Models ◽

Regression Coefficients ◽

High Dimensional ◽

Partially Linear Models ◽

Partially Linear ◽

High Dimensional Regression

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Bootstrap-Based LASSO-Type Selection to Build Generalized Additive Partially Linear Models for High-Dimensional Data

Monte-Carlo Simulation-Based Statistical Modeling - ICSA Book Series in Statistics ◽

10.1007/978-981-10-3307-0_18 ◽

2017 ◽

pp. 405-424

Author(s):

Xiang Liu ◽

Tian Chen ◽

Yuanzhang Li ◽

Hua Liang

Keyword(s):

Linear Models ◽

High Dimensional Data ◽

High Dimensional ◽

Partially Linear Models ◽

Partially Linear ◽

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Regularization statistical inferences for partially linear models with high dimensional endogenous covariates

Journal of the Korean Statistical Society ◽

10.1007/s42952-020-00067-4 ◽

2020 ◽

Author(s):

Changqing Liu ◽

Peixin Zhao ◽

Yiping Yang

Keyword(s):

Linear Models ◽

High Dimensional ◽

Partially Linear Models ◽

Partially Linear ◽

Statistical Inferences ◽

Endogenous Covariates

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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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Nonconvex penalized ridge estimations for partially linear additive models in ultrahigh dimension

Statistical Methodology ◽

10.1016/j.stamet.2015.03.001 ◽

2015 ◽

Vol 26 ◽

pp. 1-15 ◽

Author(s):

Mingqiu Wang

Keyword(s):

Additive Models ◽

Partially Linear

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