Robust subset selection
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Publication:2076115
DOI10.1016/j.csda.2021.107415OpenAlexW4205163582MaRDI QIDQ2076115
Publication date: 18 February 2022
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2005.08217
discrete optimizationrobust regressionmixed-integer optimizationsparse regressionleast trimmed squaresbest subset selection
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- Nearly unbiased variable selection under minimax concave penalty
- Best subset selection via a modern optimization lens
- Minimum distance Lasso for robust high-dimensional regression
- On constrained and regularized high-dimensional regression
- Least quantile regression via modern optimization
- Efficient algorithms for computing the best subset regression models for large-scale problems
- Robust variable selection using least angle regression and elemental set sampling
- Quadratic mixed integer programming and support vectors for deleting outliers in robust regression
- A general family of trimmed estimators for robust high-dimensional data analysis
- Robust and sparse estimators for linear regression models
- Least angle regression. (With discussion)
- Sparse least trimmed squares regression for analyzing high-dimensional large data sets
- On the conditions used to prove oracle results for the Lasso
- Robust regression through the Huber's criterion and adaptive lasso penalty
- Sparse high-dimensional regression: exact scalable algorithms and phase transitions
- Best subset selection via cross-validation criterion
- Sparse regression: scalable algorithms and empirical performance
- Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons
- Robust elastic net estimators for variable selection and identification of proteomic biomarkers
- A diagnostic method for simultaneous feature selection and outlier identification in linear regression
- Aggregation for Gaussian regression
- Pathwise coordinate optimization
- The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
- Piecewise linear regularized solution paths
- Penalised robust estimators for sparse and high-dimensional linear models
- OR Forum—An Algorithmic Approach to Linear Regression
- On the Convergence of Alternating Minimization for Convex Programming with Applications to Iteratively Reweighted Least Squares and Decomposition Schemes
- Robust Lasso With Missing and Grossly Corrupted Observations
- Outlier Detection Using Nonconvex Penalized Regression
- Least Median of Squares Regression
- Robust Linear Model Selection Based on Least Angle Regression
- Regressions by Leaps and Bounds
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Robust Statistics
- Sparse Approximate Solutions to Linear Systems
- MIP-BOOST: Efficient and Effective L0 Feature Selection for Linear Regression
- Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms
- Minimax Rates of Estimation for High-Dimensional Linear Regression Over $\ell_q$-Balls
- Robust Variable Selection With Exponential Squared Loss
- The Discrete Dantzig Selector: Estimating Sparse Linear Models via Mixed Integer Linear Optimization
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