MTE: Maximum Tangent Likelihood Estimation for Robust Linear
Regression and Variable Selection
Several robust estimators for linear regression and variable selection are provided.
Included are Maximum tangent likelihood estimator by Qin, et al., (2017) <arXiv:1708.05439>,
least absolute deviance estimator and Huber regression. The penalized version of each of these
estimator incorporates L1 penalty function, i.e., LASSO and Adaptive Lasso. They are able to
produce consistent estimates for both fixed and high-dimensional settings.
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