Robust adaptive Lasso for variable selection
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Publication:4975172
DOI10.1080/03610926.2015.1019138zbMath1368.62213OpenAlexW2330829943MaRDI QIDQ4975172
Colin M. Gallagher, Qi Zheng, K. B. Kulasekera
Publication date: 3 August 2017
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2015.1019138
Ridge regression; shrinkage estimators (Lasso) (62J07) Statistical ranking and selection procedures (62F07)
Related Items (2)
Robust variable selection in finite mixture of regression models using the t distribution ⋮ Robust estimation and variable selection in heteroscedastic regression model using least favorable distribution
Cites Work
- Unnamed Item
- M-estimation for autoregression with infinite variance
- Hedonic housing prices and the demand for clean air
- Estimating the dimension of a model
- Limiting distributions for \(L_1\) regression estimators under general conditions
- Asymptotics for Lasso-type estimators.
- Least angle regression. (With discussion)
- Robust regression through the Huber's criterion and adaptive lasso penalty
- Adaptive robust variable selection
- Adaptively weighted kernel regression
- Unified LASSO Estimation by Least Squares Approximation
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Controlling Variable Selection by the Addition of Pseudovariables
- Tuning parameter selectors for the smoothly clipped absolute deviation method
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