
Propensity Score Estimation Using Density Ratio Model under Item Nonresponse
Missing data is frequently encountered in practice. Propensity score est...
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Maximum sampled conditional likelihood for informative subsampling
Subsampling is a computationally effective approach to extract informati...
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Statistical Data Integration in Survey Sampling: A Review
Finite population inference is a central goal in survey sampling. Probab...
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Semiparametric Imputation Using Conditional Gaussian Mixture Models under Item Nonresponse
Imputation is a popular technique for handling item nonresponse in surve...
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An approximate Bayesian approach to regression estimation with many auxiliary variables
Modelassisted estimation with complex survey data is an important pract...
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Doubly Robust Inference when Combining Probability and Nonprobability Samples with Highdimensional Data
Nonprobability samples become increasingly popular in survey statistics...
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Imputation estimators for unnormalized models with missing data
We propose estimation methods for unnormalized models with missing data....
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Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach
Standard statistical methods that do not take proper account of the comp...
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Bootstrap inference for the finite population total under complex sampling designs
Bootstrap is a useful tool for making statistical inference, but it may ...
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Combining Nonprobability and Probability Survey Samples Through Mass Imputation
This paper presents theoretical results on combining nonprobability and...
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Accounting for model uncertainty in multiple imputation under complex sampling
Multiple imputation provides an effective way to handle missing data. Wh...
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Semiparametric response model with nonignorable nonresponse
How to deal with nonignorable response is often a challenging problem en...
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Semiparametric fractional imputation using Gaussian mixture models for handling multivariate missing data
Item nonresponse is frequently encountered in practice. Ignoring missing...
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Bayesian Sparse Propensity Score Estimation for Unit Nonresponse
Nonresponse weighting adjustment using propensity score is a popular met...
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Integration of survey data and big observational data for finite population inference using mass imputation
Multiple data sources are becoming increasingly available for statistica...
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Sampling techniques for big data analysis in finite population inference
In analyzing big data for finite population inference, it is critical to...
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Jae Kwang Kim
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