Jae kwang Kim
Iowa State University
H-index: 32
North America-United States
Top articles of Jae kwang Kim
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Statistical inference using regularized M-estimation in the reproducing kernel Hilbert space for handling missing data | Annals of the Institute of Statistical Mathematics | Hengfang Wang Jae Kwang Kim | 2023/12 |
Soft calibration for selection bias problems under mixed-effects models | Biometrika | Chenyin Gao Shu Yang Jae Kwang Kim | 2023/12/1 |
An empirical likelihood approach to reduce selection bias in voluntary samples | Calcutta Statistical Association Bulletin | Jae Kwang Kim Kosuke Morikawa | 2023/5 |
Hypotheses testing from complex survey data using bootstrap weights: A unified approach | Journal of the American Statistical Association | Jae Kwang Kim JNK Rao Zhonglei Wang | 2023/4/3 |
Semiparametric imputation using conditional Gaussian mixture models under item nonresponse | Biometrics | Danhyang Lee Jae Kwang Kim | 2022/3 |
Maximum Likelihood Imputation | arXiv preprint arXiv:2207.09891 | Jeongseop Han Youngjo Lee Jae Kwang Kim | 2022/7/20 |
Analysis of clustered survey data based on two-stage informative sampling and associated two-level models | Journal of the Royal Statistical Society Series A: Statistics in Society | Jae Kwang Kim JNK Rao Yonghyun Kwon | 2022/10 |
Nonparametric mass imputation for data integration | Journal of survey statistics and methodology | Sixia Chen Shu Yang Jae Kwang Kim | 2022/2/1 |
Correction to: Statistical data integration in survey sampling: a review | Shu Yang Jae Kwang Kim | 2022/7 | |
Nearest neighbour ratio imputation with incomplete multinomial outcome in survey sampling | Journal of the Royal Statistical Society Series A: Statistics in Society | Chenyin Gao Katherine Jenny Thompson Jae Kwang Kim Shu Yang | 2022/10 |
Maximum sampled conditional likelihood for informative subsampling | Journal of Machine Learning Research | HaiYing Wang Jae Kwang Kim | 2022 |
Functional Calibration under Non-Probability Survey Sampling | arXiv preprint arXiv:2204.09193 | Zhonglei Wang Xiaojun Mao Jae Kwang Kim | 2022/4/20 |
Bootstrap inference for the finite population mean under complex sampling designs | Journal of the Royal Statistical Society Series B: Statistical Methodology | Zhonglei Wang Liuhua Peng Jae Kwang Kim | 2022/9 |
A gentle introduction to data integration in survey sampling | Jae Kwang Kim | 2022 | |
Semiparametric fractional imputation using Gaussian mixture models for handling multivariate missing data | Journal of the American Statistical Association | Hejian Sang Jae Kwang Kim Danhyang Lee | 2022/4/3 |
Semiparametric imputation using latent sparse conditional Gaussian mixtures for multivariate mixed outcomes | arXiv preprint arXiv:2208.07535 | Shonosuke Sugasawa Jae Kwang Kim Kosuke Morikawa | 2022/8/16 |
A calibrated Bayesian method for the stratified proportional hazards model with missing covariates | Lifetime data analysis | Soyoung Kim Jae-Kwang Kim Kwang Woo Ahn | 2022/4/1 |
Semiparametric adaptive estimation under informative sampling | arXiv preprint arXiv:2208.06039 | Kosuke Morikawa Yoshikazu Terada Jae Kwang Kim | 2022/8/11 |
Combining non-probability and probability survey samples through mass imputation | Journal of the Royal Statistical Society Series A: Statistics in Society | Jae Kwang Kim Seho Park Yilin Chen Changbao Wu | 2021/7 |
Semiparametric optimal estimation with nonignorable nonresponse data | The Annals of Statistics | Kosuke Morikawa Jae Kwang Kim | 2021/10 |
Co-Authors
