| Sparse signal shrinkage and outlier detection in high-dimensional quantile regression with variational Bayes D Lim, B Park, D Nott, X Wang, T Choi Statistics and Its Interface 13 (2), 237-249, 2020 | 6 | 2020 |
| Collaborative analysis for energy usage monitoring and management on a large university campus MH Chen, D Lim, N Ravishanker, H Linder, M Bolduc, B McKeon, S Nolan Stat 11 (1), e513, 2022 | 2 | 2022 |
| Bayesian network meta‐regression hierarchical models using heavy‐tailed multivariate random effects with covariate‐dependent variances H Li, D Lim, MH Chen, JG Ibrahim, S Kim, AK Shah, J Lin Statistics in medicine 40 (15), 3582-3603, 2021 | 2 | 2021 |
| Adaptive designs for IVPT data with mixed scaled average bioequivalence D Lim, E Rantou, J Kim, S Choi, NH Choi, S Grosser Pharmaceutical Statistics 22 (6), 1116-1134, 2023 | 1 | 2023 |
| A hybrid monitoring procedure for detecting abnormality with application to energy consumption data D Lim, MH Chen, N Ravishanker, M Bolduc, B McKeon, S Nolan Journal of Data Science 20 (2), 135-155, 2022 | 1 | 2022 |
| Bayesian sparse seemingly unrelated regressions model with variable selection and covariance estimation via the horseshoe+ D Han, D Lim, T Choi Journal of the Korean Statistical Society 52 (3), 676-714, 2023 | | 2023 |
| metapack: An R Package for Bayesian Meta-Analysis and Network Meta-Analysis with a Unified Formula Interface D Lim, MH Chen, JG Ibrahim, S Kim, AK Shah, J Lin The R journal 14 (3), 142, 2022 | | 2022 |
| Cao, Mingxiang, Sun, Peng, He, Daojiang, Wang, Rui, and Xu, Xingzhong. A test on linear hypothesis of k-sample means in high-dimensional data..................... 27–36 Chaves … M Chen, C Zhang, MH Chen, S Kim, MH Chen, J Ibrahim, A Shah, Z Ma, ... | | |
