Synthesizing external aggregated information in the presence of population heterogeneity: A penalized empirical likelihood approach

Biometrics ◽

10.1111/biom.13429 ◽

2021 ◽

Author(s):

Ying Sheng ◽

Yifei Sun ◽

Chiung‐Yu Huang ◽

Mi‐Ok Kim

Keyword(s):

Empirical Likelihood ◽

Population Heterogeneity ◽

Likelihood Approach ◽

Penalized Empirical Likelihood

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Modelling complex survey data with population level information: an empirical likelihood approach

Biometrika ◽

10.1093/biomet/asw014 ◽

2016 ◽

Vol 103 (2) ◽

pp. 447-459 ◽

Cited By ~ 9

Author(s):

M. Oguz-Alper ◽

Y. G. Berger

Keyword(s):

Survey Data ◽

Empirical Likelihood ◽

Population Level ◽

Complex Survey ◽

Complex Survey Data ◽

Level Information ◽

Likelihood Approach

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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 ◽

Cited By ~ 15

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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A rank-based empirical likelihood approach to two-sample proportional odds model and its goodness of fit

Journal of Nonparametric Statistics ◽

10.1080/10485252.2011.559726 ◽

2011 ◽

Vol 23 (3) ◽

pp. 763-780 ◽

Cited By ~ 2

Author(s):

Zhong Guan ◽

Cheng Peng

Keyword(s):

Empirical Likelihood ◽

Goodness Of Fit ◽

Proportional Odds Model ◽

Proportional Odds ◽

Likelihood Approach

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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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Quantile regression for spatially correlated data: an empirical likelihood approach

Statistica Sinica ◽

10.5705/ss.2013.065w ◽

2014 ◽

Author(s):

Yunwen Yang ◽

Xuming He

Keyword(s):

Quantile Regression ◽

Empirical Likelihood ◽

Correlated Data ◽

Spatially Correlated ◽

Spatially Correlated Data ◽

Likelihood Approach

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An empirical likelihood approach under cluster sampling with missing observations

Annals of the Institute of Statistical Mathematics ◽

10.1007/s10463-018-0681-x ◽

2018 ◽

Vol 72 (1) ◽

pp. 91-121 ◽

Cited By ~ 1

Author(s):

Yves G. Berger

Keyword(s):

Empirical Likelihood ◽

Cluster Sampling ◽

Missing Observations ◽

Likelihood Approach

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Penalized empirical likelihood and growing dimensional general estimating equations

Biometrika ◽

10.1093/biomet/ass014 ◽

2012 ◽

Vol 99 (3) ◽

pp. 703-716 ◽

Cited By ~ 44

Author(s):

C. Leng ◽

C. Y. Tang

Keyword(s):

Empirical Likelihood ◽

Estimating Equations ◽

Penalized Empirical Likelihood

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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 ◽

Cited By ~ 4

Author(s):

YunWen Ren ◽

XinSheng Zhang

Keyword(s):

Variable Selection ◽

Empirical Likelihood ◽

Penalized Empirical Likelihood

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Inference about the slope in linear regression: an empirical likelihood approach

Annals of the Institute of Statistical Mathematics ◽

10.1007/s10463-017-0632-y ◽

2017 ◽

Vol 71 (1) ◽

pp. 181-211

Author(s):

Ursula U. Müller ◽

Hanxiang Peng ◽

Anton Schick

Keyword(s):

Linear Regression ◽

Empirical Likelihood ◽

Likelihood Approach

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Combining quantitative trait loci analyses and microarray data: An empirical likelihood approach

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2008.02.023 ◽

2009 ◽

Vol 53 (5) ◽

pp. 1661-1673 ◽

Cited By ~ 1

Author(s):

Dong Wang ◽

Song Xi Chen

Keyword(s):

Quantitative Trait Loci ◽

Empirical Likelihood ◽

Microarray Data ◽

Quantitative Trait ◽

Trait Loci ◽

Likelihood Approach

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