Current Students
Jooyoung Kim (PhD)
Soyeon Kim (MS)
Minju Kim (MS)
Kyoungman Lee (MS)
Soyeon Yoo (MS)
Former Students (PhD)
Eunha Lee (02/2026) Variable selection in model-based clustering through sparse principal components.
Hajoung Lee (02/2023) Variable selection for ultra-high dimensional data with measurement error : Application to gene expression data.
Jeonifer Garren (05/2015; Medical College of Georgia) A resampling method of time-course gene expression data for gene network inference.
Former Students (Master)
Jae Woo Jeon (02/2026) Efficient variable selection for support vector machine in high-dimensional data.
Min Jeong Kim (02/2026) Longitudinal boosting with mixed effects.
Hyunji Ryu (02/2026) Predicting upper limits of hospital supply consumptions using machine learning.
Yonghwa Jung (02/2026) Predicting upper limits of hospital supply consumptions using machine learning.
Hyeontae Kim (02/2026) Interpretation of SCFI forecasts from time series black-box models.
Geunchan Ahn (02/2026) A news data-based leading index for SCFI using dimension reduction techniques.
Yoon Ji Kim (08/2025) Zero-Inflated negative binomial boosting.
Jongwoo Kim (08/2025)
Sunghyun Park (02/2024) Statistical sampling methods for classification of imbalanced data.
Heejin Bae (02/2024) Bayesian support vector data description using minor class.
Juyeon Nam (02/2024) A comparative study on distributions for count data in genomic multiple tests
Junhyung Lee (02/2024)
Youngbin Ji (02/2023) A Study on multiple imputation for multivariate count time series data.
Jungmin Oh (02/2023) Bayesian support vector data description for anomaly detection.
Jihwan Kim (02/2023) Prediction of multivariate count time series distribution using random forests and copula functions.
Sujin Kim (02/2023) Gene clustering in a latent variable space integrating gene networks.
Donghui Son (02/2022) Estimation of ODE models through data cloning.
Hyunji Jang (02/2022) Identification of important genes from clustering for genomic data.
Sooyeon Jang (02/2022) Validation model through simulation for recommendation systems.
Hyunjung Kim (08/2021) Regression model for histogram data based on functional data method.
Sumin Cho (02/2021) An analysis of external intervention effects of COVID-19 virus spread in South Korea using the SIR model.
Yeokyung Lee (08/2020) A study on prediction and text mining methods for Youtube marketing data : Application to game videos.
Yujung Kim (08/2020) Hidden group clustering using pre-defined group information.
Sangmin Kim (02/2020) A study on cluster validity index for self-organizing maps.
Aerye Jo (02/2020) Classification for imbalanced text review data.
Taeil Jung (02/2020) A study on support vector machine with a large number of categorical predictors.
Yoonji Kim (02/2018) Estimation of ODE models for dependent gene expression time-course data.
Seungwook Jeong (02/2018) Regression trees and random forests for symbolic data.
Ga-In Shin (08/2017) The optimal number of dimensions in sparse discriminant analysis.
Jaehyun Yun (02/2017) Hypothesis test for symbolic data.
Jooyoung Kim (02/2017) A study on the strategy of model averaging in linear regression and variable importance.
Juhee Cha (02/2017) A test method for symbolic interval regression : Bootstrap approach.
Jaeyong Lee (08/2016) Regression trees for symbolic data.