Variable selection and estimation for semi-parametric multiple-index models

Bernoulli ◽

10.3150/13-bej566 ◽

2015 ◽

Vol 21 (1) ◽

pp. 242-275 ◽

Author(s):

Tao Wang ◽

Peirong Xu ◽

Lixing Zhu

Keyword(s):

Variable Selection ◽

Variable Selection And Estimation

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Polynomial spline approach for variable selection and estimation in varying coefficient models for time series data

Statistics & Probability Letters ◽

10.1016/j.spl.2014.09.008 ◽

2015 ◽

Vol 96 ◽

pp. 21-27

Author(s):

Peng Lai ◽

Jie Meng ◽

Heng Lian

Keyword(s):

Time Series ◽

Variable Selection ◽

Time Series Data ◽

Polynomial Spline ◽

Series Data ◽

Varying Coefficient Models ◽

Varying Coefficient ◽

Variable Selection And Estimation

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Robust Variable Selection and Estimation in Threshold Regression Model

Acta Mathematicae Applicatae Sinica English Series ◽

10.1007/s10255-020-0939-y ◽

2020 ◽

Vol 36 (2) ◽

pp. 332-346

Author(s):

Bo-wen Li ◽

Yun-qi Zhang ◽

Nian-sheng Tang

Keyword(s):

Variable Selection ◽

Regression Model ◽

Threshold Regression ◽

Threshold Regression Model ◽

Variable Selection And Estimation

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Variable selection and estimation in high‐dimensional models

Canadian Journal of Economics/Revue canadienne d économique ◽

10.1111/caje.12130 ◽

2015 ◽

Vol 48 (2) ◽

pp. 389-407 ◽

Author(s):

Joel L. Horowitz

Keyword(s):

Variable Selection ◽

High Dimensional ◽

Dimensional Models ◽

Variable Selection And Estimation

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Simultaneous variable selection and estimation in semiparametric modeling of longitudinal/clustered data

Bernoulli ◽

10.3150/11-bej386 ◽

2013 ◽

Vol 19 (1) ◽

pp. 252-274 ◽

Author(s):

Shujie Ma ◽

Qiongxia Song ◽

Li Wang

Keyword(s):

Variable Selection ◽

Clustered Data ◽

Semiparametric Modeling ◽

Variable Selection And Estimation

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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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Variable selection and estimation for high‐dimensional spatial autoregressive models

Scandinavian Journal of Statistics ◽

10.1111/sjos.12452 ◽

2020 ◽

Vol 47 (2) ◽

pp. 587-607

Author(s):

Liqian Cai ◽

Tapabrata Maiti

Keyword(s):

Variable Selection ◽

Autoregressive Models ◽

High Dimensional ◽

Spatial Autoregressive ◽

Spatial Autoregressive Models ◽

Variable Selection And Estimation

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Concave group methods for variable selection and estimation in high-dimensional varying coefficient models

Science China Mathematics ◽

10.1007/s11425-014-4842-y ◽

2014 ◽

Vol 57 (10) ◽

pp. 2073-2090 ◽

Author(s):

GuangRen Yang ◽

Jian Huang ◽

Yong Zhou

Keyword(s):

Variable Selection ◽

High Dimensional ◽

Varying Coefficient Models ◽

Varying Coefficient ◽

Group Methods ◽

Variable Selection And Estimation

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Variable selection and estimation using a continuous approximation to the $$L_0$$ L 0 penalty

Annals of the Institute of Statistical Mathematics ◽

10.1007/s10463-016-0588-3 ◽

2016 ◽

Vol 70 (1) ◽

pp. 191-214

Author(s):

Yanxin Wang ◽

Qibin Fan ◽

Li Zhu

Keyword(s):

Variable Selection ◽

Continuous Approximation ◽

Variable Selection And Estimation

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Variable selection and estimation in high-dimensional models

10.1920/wp.cem.2015.3515 ◽

2015 ◽

Author(s):

Joel L. Horowitz

Keyword(s):

Variable Selection ◽

High Dimensional ◽

Dimensional Models ◽

Variable Selection And Estimation

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Variable selection and estimation for the additive hazards model subject to left-truncation, right-censoring and measurement error in covariates

Journal of Statistical Computation and Simulation ◽

10.1080/00949655.2020.1800705 ◽

2020 ◽

Vol 90 (18) ◽

pp. 3261-3300

Author(s):

Li-Pang Chen

Keyword(s):

Measurement Error ◽

Variable Selection ◽

Right Censoring ◽

Additive Hazards Model ◽

Left Truncation ◽

Additive Hazards ◽

Hazards Model ◽

Variable Selection And Estimation ◽

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