2 papers
stat.ME2023
CR-Lasso: Robust cellwise regularized sparse regression
Peng Su, Garth Tarr, Samuel Muller +1
Cellwise contamination remains a challenging problem for data scientists, particularly in research fields that require the selection of sparse features. Traditional robust methods…
stat.ME2020
Simultaneous confidence bands for nonparametric regression with partially missing covariates
Li Cai, Lijie Gu, Qihua Wang +1
In this paper, we consider a weighted local linear estimator based on the inverse selection probability for nonparametric regression with missing covariates at random. The asymptot…