Kyoungjae Lee

Emailleekjstatskkuedu
Websitehttps://sites.google.com/view/leekjstat

h-index

Research activity per year

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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26 Article
1 Conference contribution

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 Access
3 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 Access
3 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 Access
1 Scopus citations

Kyoungjae Lee

Personal profile

Education

Professional Experience

Awards

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

bspcov: An R Package for Bayesian sparse covariance matrix estimation

Mhorseshoe package in R: Approximate algorithm for the horseshoe prior in Bayesian linear model

Bayesian Inference on Hierarchical Nonlocal Priors in Generalized Linear Models∗

Bayesian Optimal Two-Sample Tests for High-Dimensional Gaussian Populations

Consistent and Scalable Bayesian Joint Variable and Graph Selection for Disease Diagnosis Leveraging Functional Brain Network

Kyoungjae Lee

Personal profile

Education

Professional Experience

Awards

Fingerprint

Collaborations and top research areas from the last five years

Research output

bspcov: An R Package for Bayesian sparse covariance matrix estimation

Mhorseshoe package in R: Approximate algorithm for the horseshoe prior in Bayesian linear model

Bayesian Inference on Hierarchical Nonlocal Priors in Generalized Linear Models∗

Bayesian Optimal Two-Sample Tests for High-Dimensional Gaussian Populations

Consistent and Scalable Bayesian Joint Variable and Graph Selection for Disease Diagnosis Leveraging Functional Brain Network