High-dimensional robust approximated M-estimators for mean regression with asymmetric data

Bin Luo, Xiaoli Gao

Asymmetry along with heteroscedasticity or contamination often occurs with the growth of data dimensionality. In ultra-high dimensional data analysis, such irregular settings are u…