| Estimating large precision matrices via modified Cholesky decomposition K Lee, J Lee Statistica Sinica 31 (1), 173-196, 2021 | 29* | 2021 |
| Minimax posterior convergence rates and model selection consistency in high-dimensional DAG models based on sparse Cholesky factors K Lee, J Lee, L Lin The Annals of Statistics 47 (6), 3413-3437, 2019 | 29 | 2019 |
| Bayesian group selection in logistic regression with application to MRI data analysis K Lee, X Cao Biometrics 77 (2), 391-400, 2021 | 22 | 2021 |
| Optimal Bayesian minimax rates for unconstrained large covariance matrices K Lee, J Lee | 21 | 2018 |
| Laplace based approximate posterior inference for differential equation models SC Dass, J Lee, K Lee, J Park Statistics and Computing 27, 679-698, 2017 | 21 | 2017 |
| The beta-mixture shrinkage prior for sparse covariances with near-minimax posterior convergence rate K Lee, S Jo, J Lee Journal of Multivariate Analysis 192, 105067, 2022 | 10* | 2022 |
| Inference for differential equation models using relaxation via dynamical systems K Lee, J Lee, SC Dass Computational Statistics & Data Analysis 127, 116-134, 2018 | 10 | 2018 |
| Bayesian variable selection in logistic regression with application to whole-brain functional connectivity analysis for Parkinson’s disease X Cao, K Lee, Q Huang Statistical Methods in Medical Research 30 (3), 826-842, 2021 | 8 | 2021 |
| Variable selection using nonlocal priors in high-dimensional generalized linear models with application to fMRI data analysis X Cao, K Lee Entropy 22 (8), 807, 2020 | 7 | 2020 |
| Post-processed posteriors for banded covariances K Lee, K Lee, J Lee Bayesian Analysis 18 (3), 1017-1040, 2023 | 6 | 2023 |
| Bayesian inference for high-dimensional decomposable graphs K Lee, X Cao | 5 | 2021 |
| Bayesian joint inference for multiple directed acyclic graphs K Lee, X Cao Journal of Multivariate Analysis 191, 105003, 2022 | 4 | 2022 |
| Maximum pairwise Bayes factors for covariance structure testing K Lee, L Lin, D Dunson Electronic Journal of Statistics 15 (2), 4384-4419, 2021 | 4 | 2021 |
| Bayesian bandwidth test and selection for high-dimensional banded precision matrices K Lee, L Lin | 4 | 2020 |
| Bayesian optimal two-sample tests for high-dimensional Gaussian populations K Lee, K You, L Lin Bayesian Analysis 19 (3), 869-893, 2024 | 3* | 2024 |
| Scalable Bayesian high-dimensional local dependence learning K Lee, L Lin Bayesian Analysis 18 (1), 25-47, 2023 | 3 | 2023 |
| Joint bayesian variable and dag selection consistency for high-dimensional regression models with network-structured covariates X Cao, K Lee Statistica Sinica 31 (3), 1509-1530, 2021 | 3 | 2021 |
| History and future of Bayesian statistics J Lee, K Lee, Y Leea The Korean Journal of Applied Statistics 27 (6), 855-863, 2014 | 3 | 2014 |
| Bayesian inference on hierarchical nonlocal priors in generalized linear models X Cao, K Lee Bayesian Analysis 19 (1), 99-122, 2024 | 2 | 2024 |
| Consistent and scalable Bayesian joint variable and graph selection for disease diagnosis leveraging functional brain network X Cao, K Lee Bayesian Analysis 1 (1), 1-29, 2023 | 2 | 2023 |
Jaeyong LeeSeoul National University在 snu.ac.kr 的电子邮件经过验证
