* denotes corresponding author.
Under Review / Submitted
Kwangmin Lee, Yeonhee Park. "Sufficient Dimension Reduction and Variable Selection via Bayesian Sparse Envelope Model." (under major revision in Biometrics).
Seongmin Kim, Kwangmin Lee, Sewon Park, Jaeyong Lee. "Eigenstructure Inference for High-Dimensional Covariance with Generalized Shrinkage Inverse-Wishart Prior." arXiv:2505.20668 (under major revision in Bayesian Analysis).
Taeyong Kwon, Kwangmin Lee, Sanghoo Yoon. "ExGAN-based Assessment of Extreme Particulate Matter Risk and Regional Energy Strategy for Solar Photovoltaic Power Generation Stabilization." (under major revision in Scientific Reports).
Jaeyong Lee, Kwangmin Lee*, Jaeyong Lee, Seongil Jo. "Conditional Dirichlet Processes and Functional Condition Models." arXiv:2506.15932 (submitted).
Kwangmin Lee, Sewon Park, Seongmin Kim, Jaeyong Lee. "Bayesian Analysis of Spiked Covariance Models: Correcting Eigenvalue Bias and Determining the Number of Spikes." arXiv:2412.10753 (submitted).
Seunghyeon Kim, Yeonhee Park, Kwangmin Lee*. "Laplace Variational Inference for Bayesian Envelope Models." arXiv:2603.00927 (submitted).
Kyoungjae Lee, Kwangmin Lee, Xuan Cao. "Scalable Bayesian Inference for Covariance Matrices with Varying Bandwidth." (submitted).
Published / Accepted
Kwangmin Lee, Yeonhee Park, Sewon Park. "Reflective Hamiltonian Monte Carlo: Mixing Analysis and Application to Sampling on the Stiefel Manifold." Proceedings of the 43rd International Conference on Machine Learning (ICML), 2026.
Kyeongwon Lee, Kyoungjae Lee, Seongil Jo, Kwangmin Lee*. "bspcov: An R Package for Bayesian Sparse Covariance Matrix Estimation." SoftwareX 32, 102338 (2025).
Kwangmin Lee, Yeonhee Park. "Bayesian Inference for Multivariate Probit Model with Latent Envelope." Biometrics 80(3) (2024).
Kwangmin Lee, Seongmin Kim, Seongil Jo, Jaeyong Lee. "Estimation of World Seroprevalence of SARS-CoV-2 Antibodies." Journal of Applied Statistics 51(15), 3039–3058 (2024).
Kwangmin Lee, Jaeyong Lee. "Post-Processed Posteriors for Sparse Covariances." Journal of Econometrics 236(1), 105475 (2023).
Kwangmin Lee, Kyoungjae Lee, Jaeyong Lee. "Post-Processed Posteriors for Banded Covariances." Bayesian Analysis 18(3), 1017–1040 (2023).
Kwangmin Lee, Kyoungjae Lee, Jaeyong Lee. "Estimation of Conditional Mean Operator under the Bandable Covariance Structure." Electronic Journal of Statistics 16(1), 1253–1302 (2022).
Kwangmin Lee, Seongil Jo, Jaeyong Lee. "Seroprevalence of SARS-CoV-2 Antibodies in South Korea." Journal of the Korean Statistical Society 50(3), 891–904 (2021).
Youngseon Lee, Kyoungjae Lee, Kwangmin Lee, Jaeyong Lee, Jinwook Seo. "Introduction to the Indian Buffet Process: Theory and Applications." The Korean Journal of Applied Statistics 28(2), 251–267 (2015).