| Conditional causal mediation analysis of factors associated with cover crop adoption in Iowa, USA D Lee, JG Arbuckle, Z Zhu, L Nowatzke Water Resources Research 54 (11), 9566-9584, 2018 | 38 | 2018 |
| Semiparametric fractional imputation using Gaussian mixture models for handling multivariate missing data H Sang, JK Kim, D Lee Journal of the American Statistical Association 117 (538), 654-663, 2022 | 15 | 2022 |
| Bayesian predictive inference of a proportion under a two-fold small area model with heterogeneous correlations D Lee, B Nandram, D Kim Survey Methodology 43 (1), 69-93, 2017 | 8 | 2017 |
| Soil moisture prediction using a support vector regression D Lee, G Kim, KE Lee Journal of the Korean Data and Information Science Society 24 (2), 401-408, 2013 | 7 | 2013 |
| Maximum entropy classification for record linkage D Lee, LC Zhang, JK Kim arXiv preprint arXiv:2009.14797, 2020 | 5 | 2020 |
| Small area prediction of quantiles for zero-inflated data and an informative sample design E Berg, D Lee Statistical Theory and Related Fields 3 (2), 114-128, 2019 | 4 | 2019 |
| Semiparametric imputation using conditional Gaussian mixture models under item nonresponse D Lee, JK Kim Biometrics 78 (1), 227-237, 2022 | 3 | 2022 |
| Within-cluster resampling for multilevel models under informative cluster size D Lee, JK Kim, CJ Skinner Biometrika 106 (4), 965-972, 2019 | 2 | 2019 |
| Prediction of small area quantiles for the conservation effects assessment project using a mixed effects quantile regression model E Berg, D Lee The Annals of Applied Statistics 13 (4), 2158-2188, 2019 | 1 | 2019 |
| Robust quasi‐randomization‐based estimation with ensemble learning for missing data D Lee, LC Zhang, S Chen Scandinavian Journal of Statistics 50 (3), 1263-1278, 2023 | | 2023 |
| Design-based individual prediction LC Zhang, D Lee arXiv preprint arXiv:2301.09117, 2023 | | 2023 |
