8 citations · 16 across the 11 of their papers we have counts for
5 papers · 1 filter
Semiparametric Imputation Using Conditional Gaussian Mixture Models under Item Nonresponse
Danhyang Lee, Jae Kwang Kim
Imputation is a popular technique for handling item nonresponse in survey sampling. Parametric imputation is based on a parametric model for imputation and is less robust against t…
An Approximate Bayesian Approach to Model-assisted Survey Estimation with Many Auxiliary Variables
Shonosuke Sugasawa, Jae Kwang Kim
Model-assisted estimation with complex survey data is an important practical problem in survey sampling. When there are many auxiliary variables, selecting significant variables as…
Doubly Robust Inference when Combining Probability and Non-probability Samples with High-dimensional Data
Shu Yang, Jae Kwang Kim, Rui Song
Non-probability samples become increasingly popular in survey statistics but may suffer from selection biases that limit the generalizability of results to the target population. W…
Imputation estimators for unnormalized models with missing data
Masatoshi Uehara, Takeru Matsuda, Jae Kwang Kim
Several statistical models are given in the form of unnormalized densities, and calculation of the normalization constant is intractable. We propose estimation methods for such unn…
Bootstrap inference for the finite population total under complex sampling designs
Zhonglei Wang, Jae Kwang Kim, Liuhua Peng
Bootstrap is a useful tool for making statistical inference, but it may provide erroneous results under complex survey sampling. Most studies about bootstrap-based inference are de…