Penalized Jackknife Empirical Likelihood in High Dimensions

DOI10.5705/ss.202019.0410WikidataQ114013844 ScholiaQ114013844MaRDI QIDQ6069864

Zhouping Li, Na Zhao, Jinfeng Xu, Wang Zhou

Publication date: 17 November 2023

Published in: Statistica Sinica (Search for Journal in Brave)

zbMATH Keywords

\(U\)-statisticsestimating equationsvariable selectionpenalized likelihoodhigh-dimensional data analysisjack-knife empirical likelihood

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• The Adaptive Lasso and Its Oracle Properties
• A review on empirical likelihood methods for regression
• A penalized empirical likelihood method in high dimensions
• Empirical likelihood ratio confidence regions
• Extending the scope of empirical likelihood
• Empirical likelihood and general estimating equations
• Nonconcave penalized likelihood with a diverging number of parameters.
• A new scope of penalized empirical likelihood with high-dimensional estimating equations
• Penalized generalized empirical likelihood with a diverging number of general estimating equations for censored data
• Penalized empirical likelihood for the sparse Cox regression model
• High dimensional generalized empirical likelihood for moment restrictions with dependent data
• Smoothed rank correlation of the linear transformation regression model
• Empirical likelihood test for high dimensional linear models
• A simple resampling method by perturbing the minimand
• On Nonsmooth Estimating Functions via Jackknife Empirical Likelihood
• Penalized empirical likelihood and growing dimensional general estimating equations
• Shrinkage Tuning Parameter Selection with a Diverging number of Parameters
• Penalized high-dimensional empirical likelihood
• Reduce computation in profile empirical likelihood method
• Approximate jackknife empirical likelihood method for estimating equations
• Effects of data dimension on empirical likelihood
• Large dimensional empirical likelihood
• Penalised variable selection with U-estimates
• Unified LASSO Estimation by Least Squares Approximation
• Empirical likelihood ratio confidence intervals for a single functional
• Rank-based inference for the accelerated failure time model
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Empirical likelihood and general relative error criterion with divergent dimension
• Jackknife Empirical Likelihood
• A Regression Framework for Rank Tests Based on the Probabilistic Index Model
• Probabilistic Index Models
• High-dimensional empirical likelihood inference

This page was built for publication: Penalized Jackknife Empirical Likelihood in High Dimensions