I am currently a postdoctoral researcher in the Single Photon Sensor Data Analysis Lab at Inha University (since September 2025). Before joining Inha University, I received my Ph.D. in Statistics from Seoul National University in August 2025, where I was advised by Professor Johan Lim. [Curriculum Vitae]
Published Paper († Equal contribution)
Seo, K.†, Cho, S.†, and Lim, J. (2025). Asymptotic Error of Bonferroni Procedure under Weak Dependence via Chen–Stein Method. Journal of the Korean Statistical Society, 54, 932–944.
Seo, K., Lim, J., and Kim, Y. (2024). Group-Wise Monitoring of Multivariate Data with Missing Values. Journal of Quality Technology, 56(4), 293–311.
Cao, Y.†, Seo, K.†, Ahn, S., and Lim, J. (2022). Estimation of High-Dimensional Sparse Cross Correlation Matrix. Communications for Statistical Applications and Methods, 29(6), 655–664.
Jeong, J., Seo, K., and Kim, E. (2018). Numerical Analysis of Intracellular Amino Acid Profiles of Breast Cancer Cells With K-Ras or PI3K Mutation in Response to Kinase Inhibitors. BMC Cancer, 18(1), 1109.
Ongoing Research
Seo, K., Kim, J., Lim, J., and Park, J. Where Is the Squad? Robust Ideal Point Estimation in the Presence of Protest Votes. [PDF]
(Accepted for publication in Journal of Applied Statistics)
Seo, K., Lee, S., Park, J., and Lim, J. ℓ₀-Regularized Item Response Theory Model for Robust Ideal Point Estimation.
(Under revision for Journal of the Royal Statistical Society: Series A)
Seo, K., Lim, J., Choi, H., and Jeong, J. Multiple Testing of One-Sided Hypotheses with Conservative Nulls.
(Under revision for Journal of Applied Statistics)
Seo, K., Wang, K., Park, D., Katayama, S., Wand, S., and Lim, J. Empirical Bayes Method for Large-Scale Multiple Testing with Heteroscedastic Errors. [R-code]
(To be submitted to International Statistical Review)
Conformal Inference for the Normal Mean Inference Problem with Heteroscedastic Variance.
(In preparation)
Large-Scale Covariate-Assisted Multiple Testing Procedure under Dependence.
(In preparation)
Conformal Novelty Detection in Missing Data Analysis.
(In preparation)