Minimum Distance Estimation for Robust High-Dimensional Regression

11 Jul 2013Aurélie C. LozanoNicolai Meinshausen

We propose a minimum distance estimation method for robust regression in sparse high-dimensional settings. The traditional likelihood-based estimators lack resilience against outliers, a critical issue when dealing with high-dimensional noisy data... (read more)

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