Robust penalized empirical likelihood estimation method for linear regression
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Publication:6044816
DOI10.1080/02331888.2023.2179054OpenAlexW4321376093MaRDI QIDQ6044816
Publication date: 22 May 2023
Published in: Unnamed Author (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331888.2023.2179054
Cites Work
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- Penalized empirical likelihood for high-dimensional partially linear varying coefficient model with measurement errors
- High breakdown-point and high efficiency robust estimates for regression
- A review on empirical likelihood methods for regression
- A penalized empirical likelihood method in high dimensions
- Empirical likelihood ratio confidence regions
- Variable selection using penalized empirical likelihood
- Empirical likelihood for linear models
- Empirical likelihood confidence intervals for linear regression coefficients
- Empirical likelihood and general estimating equations
- On the accuracy of empirical likelihood confidence regions for linear regression model
- Empirical likelihood based variable selection
- Penalized empirical likelihood and growing dimensional general estimating equations
- Penalized MM regression estimation withLγpenalty: a robust version of bridge regression
- Penalized high-dimensional empirical likelihood
- Methodology and Algorithms of Empirical Likelihood
- Empirical likelihood ratio confidence intervals for a single functional
- Empirical likelihood confidence intervals for nonparametric density estimation
- Penalized empirical likelihood for quantile regression with missing covariates and auxiliary information
- Robust Statistics
- A Statistical View of Some Chemometrics Regression Tools
- Robust empirical likelihood for linear models under median constraints
- Empirical likelihood-MM (EL-MM) estimation for the parameters of a linear regression model
- Combining empirical likelihood and robust estimation methods for linear regression models
- Efficient Robust Regression via Two-Stage Generalized Empirical Likelihood
- Higher Order Properties of Gmm and Generalized Empirical Likelihood Estimators
- Robust Estimation of a Location Parameter
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