Sparse Quantile Huber Regression for Efficient and Robust Estimation

19 Feb 2014Aleksandr Y. AravkinAnju KambadurAurelie C. LozanoRonny Luss

We consider new formulations and methods for sparse quantile regression in the high-dimensional setting. Quantile regression plays an important role in many applications, including outlier-robust exploratory analysis in gene selection... (read more)

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