38 citations · 58 across the 5 of their papers we have counts for
5 papers
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…
The impact of clustering binary data on relative risk towards a study of inferential methods
Gopal Nath, Krishna K. Saha, Suojin Wang
In epidemiological cohort studies, the relative risk (also known as risk ratio) is a major measure of association to summarize the results of two treatments or exposures. Generally…
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…
Semiparametric GEE analysis in partially linear single-index models for longitudinal data
Jia Chen, Degui Li, Hua Liang +1
In this article, we study a partially linear single-index model for longitudinal data under a general framework which includes both the sparse and dense longitudinal data cases. A…
Nonparametric Additive Model-assisted Estimation for Survey Data
Li Wang, Suojin Wang
An additive model-assisted nonparametric method is investigated to estimate the finite population totals of massive survey data with the aid of auxiliary information. A class of es…