Personal profile
Education
Ph.D. in Statistics (2017), Seoul National University, Seoul, Korea
B.S. in Statistics (2010), Seoul National University, Seoul, Korea
서울대학교, 통계학 박사, 2017
서울대학교, 통계학 학사, 2010
Professional Experience
성균관대학교 부교수, 2024.09 - 현재
성균관대학교 조교수, 2021.09 - 2024.08
인하대학교 조교수, 2019.03 - 2021.08
University of Notre Dame 박사후연구원, 2017.01 - 2019.02
Awards
SAS 신진통계학자 학술논문상, 한국통계학회, 2022
학문후속세대 장학금: type B, 2013.09-2016.08
학문후속세대 장학금: type A, 2012.09-2013.02
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Collaborations and top research areas from the last five years
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bspcov: An R Package for Bayesian sparse covariance matrix estimation
Lee, K., Lee, K., Jo, S. & Lee, K., Dec 2025, In: SoftwareX. 32, 102338.Research output: Contribution to journal › Article › peer-review
Open Access -
Mhorseshoe package in R: Approximate algorithm for the horseshoe prior in Bayesian linear model
Kang, M. & Lee, K., Sep 2025, In: SoftwareX. 31, 102236.Research output: Contribution to journal › Article › peer-review
Open Access -
Bayesian Inference on Hierarchical Nonlocal Priors in Generalized Linear Models∗
Cao, X. & Lee, K., 2024, In: Bayesian Analysis. 19, 1, p. 99-122 24 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Link opens in a new tab Scopus citations -
Bayesian Optimal Two-Sample Tests for High-Dimensional Gaussian Populations
Lee, K., You, K. & Lin, L., 2024, In: Bayesian Analysis. 19, 3, p. 869-893 25 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Link opens in a new tab Scopus citations -
Consistent and Scalable Bayesian Joint Variable and Graph Selection for Disease Diagnosis Leveraging Functional Brain Network
Cao, X. & Lee, K., 2024, In: Bayesian Analysis. 19, 3, p. 895-923 29 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Scopus citations