Variable Selection for Additive Models with Missing Response at Random

Journal of Advanced Statistics ◽

10.22606/jas.2017.21001 ◽

2017 ◽

Author(s):

Jian Wu ◽

◽

Junhua Zhang ◽

Gaorong Li ◽

◽

...

Keyword(s):

Variable Selection ◽

Additive Models ◽

Missing Response ◽

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Quickly variable selection for varying coefficient models with missing response at random

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2014.922989 ◽

2018 ◽

Vol 47 (10) ◽

pp. 2327-2336

Author(s):

Jian Wu ◽

Liugen Xue ◽

Peixin Zhao

Keyword(s):

Variable Selection ◽

Varying Coefficient Models ◽

Missing Response ◽

Varying Coefficient ◽

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Variable selection for semiparametric varying-coefficient partially linear models with missing response at random

Acta Mathematica Sinica English Series ◽

10.1007/s10114-011-9200-1 ◽

2011 ◽

Vol 27 (11) ◽

pp. 2205-2216 ◽

Author(s):

Pei Xin Zhao ◽

Liu Gen Xue

Keyword(s):

Variable Selection ◽

Linear Models ◽

Partially Linear Models ◽

Missing Response ◽

Varying Coefficient ◽

Partially Linear ◽

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Practical variable selection for generalized additive models

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2011.02.004 ◽

2011 ◽

Vol 55 (7) ◽

pp. 2372-2387 ◽

Author(s):

Giampiero Marra ◽

Simon N. Wood

Keyword(s):

Variable Selection ◽

Generalized Additive Models ◽

Additive Models ◽

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Simultaneous Confidence Corridors and Variable Selection for Generalized Additive Models

SSRN Electronic Journal ◽

10.2139/ssrn.2892640 ◽

2014 ◽

Author(s):

Shuzhuan Zheng ◽

Rong Liu ◽

Lijian Yang

Keyword(s):

Variable Selection ◽

Generalized Additive Models ◽

Additive Models ◽

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Variable Selection for Semiparametric Varying Coefficient Partially Linear Errors-in-Variables (EV) Model with Missing Response

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2013.791376 ◽

2015 ◽

Vol 44 (21) ◽

pp. 4521-4539 ◽

Author(s):

Hu Yang ◽

Xiaochao Xia

Keyword(s):

Variable Selection ◽

Errors In Variables ◽

Missing Response ◽

Varying Coefficient ◽

Partially Linear ◽

Selection For ◽

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Smoothed empirical likelihood inference and variable selection for quantile regression with nonignorable missing response

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2019.106888 ◽

2020 ◽

Vol 144 ◽

pp. 106888

Author(s):

Ting Zhang ◽

Lei Wang

Keyword(s):

Variable Selection ◽

Quantile Regression ◽

Empirical Likelihood ◽

Likelihood Inference ◽

Missing Response ◽

Selection For ◽

Smoothed Empirical Likelihood ◽

Nonignorable Missing

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Estimation and variable selection for partially linear additive models with measurement errors

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2019.1651858 ◽

2019 ◽

pp. 1-30

Author(s):

Rui Li ◽

Shuchuan Mu ◽

Ruili Hao

Keyword(s):

Variable Selection ◽

Measurement Errors ◽

Additive Models ◽

Partially Linear ◽

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Strong Consistency of Variable Selection for Stationary Linear Stochastic Systems

2019 Chinese Control Conference (CCC) ◽

10.23919/chicc.2019.8866312 ◽

2019 ◽

Author(s):

ZHAO Wenxiao ◽

YIN G. George ◽

BAI Er-Wei

Keyword(s):

Variable Selection ◽

Strong Consistency ◽

Stochastic Systems ◽

Linear Stochastic Systems ◽

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Variable selection for semiparametric random-effects conditional density models with longitudinal data

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2018.1554130 ◽

2018 ◽

Vol 49 (4) ◽

pp. 977-996

Author(s):

Xiaohui Yuan ◽

Yue Wang ◽

Tianqing Liu

Keyword(s):

Variable Selection ◽

Longitudinal Data ◽

Random Effects ◽

Conditional Density ◽

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Robust communication-efficient distributed composite quantile regression and variable selection for massive data

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2021.107262 ◽

2021 ◽

pp. 107262

Author(s):

Kangning Wang ◽

Shaomin Li ◽

Benle Zhang

Keyword(s):

Variable Selection ◽

Quantile Regression ◽

Massive Data ◽

Composite Quantile Regression ◽

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