15 citations · 25 across the 6 of their papers we have counts for
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stat.ME2019★ 4 cited
A High-dimensional M-estimator Framework for Bi-level Variable Selection
Bin Luo, Xiaoli Gao
In high-dimensional data analysis, bi-level sparsity is often assumed when covariates function group-wisely and sparsity can appear either at the group level or within certain grou…
math.ST2019★ 5 cited
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…