Penalized empirical likelihood and growing dimensional general estimating equations

10.1093/biomet/ass014 ◽

2012 ◽

Vol 99 (3) ◽

pp. 703-716 ◽

Author(s):

C. Leng ◽

C. Y. Tang

Keyword(s):

Empirical Likelihood ◽

Estimating Equations ◽

Penalized Empirical Likelihood

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A new scope of penalized empirical likelihood with high-dimensional estimating equations

The Annals of Statistics ◽

10.1214/17-aos1655 ◽

2018 ◽

Vol 46 (6B) ◽

pp. 3185-3216 ◽

Author(s):

Jinyuan Chang ◽

Cheng Yong Tang ◽

Tong Tong Wu

Keyword(s):

Empirical Likelihood ◽

Estimating Equations ◽

High Dimensional ◽

Penalized Empirical Likelihood

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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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Estimating equations, empirical likelihood and constraints on parameters

Canadian Journal of Statistics ◽

10.2307/3315441 ◽

1995 ◽

Vol 23 (2) ◽

pp. 145-159 ◽

Author(s):

Jing Qin ◽

Jerry Lawless

Keyword(s):

Empirical Likelihood ◽

Estimating Equations

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Jackknife empirical likelihood for growing dimensional nonsmooth estimating equations

Scientia Sinica Mathematica ◽

10.1360/scm-2018-0239 ◽

2019 ◽

Vol 49 (8) ◽

pp. 1103

Author(s):

Li Zhouping ◽

Yang Fan ◽

Wei Yang

Keyword(s):

Empirical Likelihood ◽

Estimating Equations ◽

Jackknife Empirical Likelihood

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Regularization Parameter Selection for Penalized Empirical Likelihood Estimator

SSRN Electronic Journal ◽

10.2139/ssrn.3177880 ◽

2018 ◽

Author(s):

Tomohiro Ando ◽

Naoya Sueishi

Keyword(s):

Empirical Likelihood ◽

Regularization Parameter ◽

Parameter Selection ◽

Likelihood Estimator ◽

Selection For ◽

Regularization Parameter Selection ◽

Penalized Empirical Likelihood

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Adjusted empirical likelihood models with estimating equations for accelerated life tests

Journal of Statistical Planning and Inference ◽

10.1016/j.jspi.2010.05.016 ◽

2011 ◽

Vol 141 (1) ◽

pp. 140-155

Author(s):

Ni Wang ◽

Jye-Chi Lu ◽

Di Chen ◽

Paul H. Kvam

Keyword(s):

Empirical Likelihood ◽

Estimating Equations ◽

Adjusted Empirical Likelihood ◽

Accelerated Life Tests ◽

Accelerated Life ◽

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Variable selection using penalized empirical likelihood

Science China Mathematics ◽

10.1007/s11425-011-4231-8 ◽

2011 ◽

Vol 54 (9) ◽

pp. 1829-1845 ◽

Author(s):

YunWen Ren ◽

XinSheng Zhang

Keyword(s):

Variable Selection ◽

Empirical Likelihood ◽

Penalized Empirical Likelihood

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Empirical likelihood test via estimating equations

Journal of Statistical Planning and Inference ◽

10.1016/j.jspi.2011.02.001 ◽

2011 ◽

Vol 141 (7) ◽

pp. 2428-2439 ◽

Author(s):

Minqiang Li ◽

Liang Peng

Keyword(s):

Empirical Likelihood ◽

Estimating Equations

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A penalized empirical likelihood method in high dimensions

The Annals of Statistics ◽

10.1214/12-aos1040 ◽

2012 ◽

Vol 40 (5) ◽

pp. 2511-2540 ◽

Author(s):

Soumendra N. Lahiri ◽

Subhadeep Mukhopadhyay

Keyword(s):

Empirical Likelihood ◽

Likelihood Method ◽

High Dimensions ◽

Empirical Likelihood Method ◽

Penalized Empirical Likelihood

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A semi-parametric empirical likelihood approach for conditional estimating equations under endogenous selection

Econometrics and Statistics ◽

10.1016/j.ecosta.2021.12.004 ◽

2021 ◽

Author(s):

Yves G. Berger ◽

Valentin Patilea

Keyword(s):

Empirical Likelihood ◽

Estimating Equations ◽

Likelihood Approach ◽

Endogenous Selection

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