The Adaptive $\tau$-Lasso: Robustness and Oracle Properties
This paper introduces a new regularized version of the robust $\tau$-regression estimator for analyzing high-dimensional datasets subject to gross contamination in the response variables and covariates. The resulting estimator, termed adaptive $\tau$-Lasso, is robust to outliers and high-leverage po...
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Main Authors | , |
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Format | Journal Article |
Language | English |
Published |
18.04.2023
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Subjects | |
Online Access | Get full text |
DOI | 10.48550/arxiv.2304.09310 |
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