3 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
Robust propensity score weighting estimation under missing at random
Hengfang Wang, Jae Kwang Kim, Jeongseop Han +1
Missing data is frequently encountered in many areas of statistics. Propensity score weighting is a popular method for handling missing data. The propensity score method employs a…
Statistical inference using Regularized M-estimation in the reproducing kernel Hilbert space for handling missing data
Hengfang Wang, Jae Kwang Kim
Imputation and propensity score weighting are two popular techniques for handling missing data. We address these problems using the regularized M-estimation techniques in the repro…
Information projection approach to propensity score estimation for handling selection bias under missing at random
Hengfang Wang, Jae Kwang Kim
Propensity score weighting is widely used to improve the representativeness and correct the selection bias in the voluntary sample. The propensity score is often developed using a…
Statistical Inference after Kernel Ridge Regression Imputation under item nonresponse
Hengfang Wang, Jae-Kwang Kim
Imputation is a popular technique for handling missing data. We consider a nonparametric approach to imputation using the kernel ridge regression technique and propose consistent v…