Support Vector Machine Using k-Spatial Medians Clustering and Recovery Process. - Sungwan Bang; Ja-Yong Koo; Myoungshic Jhun (Commun. Stat. Simul. Comput., 2010)

Simultaneous estimation and factor selection in quantile regression via adaptive sup-norm regularization. - Sungwan Bang; Myoungshic Jhun (Comput. Stat. Data Anal., 2012)

Weighted Support Vector Machine Using k-Means Clustering. - Sungwan Bang; Myoungshic Jhun (Commun. Stat. Simul. Comput., 2014)

Simultaneous Confidence Intervals for the Ratios of Marginal Means of a Multivariate Poisson Distribution. - Jongkyeong Kang; Sungwan Bang; Myoungshic Jhun (Commun. Stat. Simul. Comput., 2014)

Adaptive lasso penalised censored composite quantile regression. - Sungwan Bang; HyungJun Cho; Myoungshic Jhun (Int. J. Data Min. Bioinform., 2016)

Simultaneous estimation for non-crossing multiple quantile regression with right censored data. - Sungwan Bang; HyungJun Cho; Myoungshic Jhun (Stat. Comput., 2016)

Composite kernel quantile regression. - Sungwan Bang; Soo-Heang Eo; Myoungshic Jhun; HyungJun Cho (Commun. Stat. Simul. Comput., 2017)

Hierarchically penalized support vector machine with grouped variables. - Sungwan Bang; Jongkyeong Kang; Myoungshic Jhun; Eunkyung Kim (Int. J. Mach. Learn. Cybern., 2017)

Model-based recursive partitioning algorithm to penalized non-crossing multiple quantile regression for the right-censored data. - Jaeoh Kim; Byoungwook Jang; Sungwan Bang (Commun. Stat. Simul. Comput., 2023)

A least distance estimator for a multivariate regression model using deep neural networks. - Jungmin Shin; Seung Jun Shin; Sungwan Bang (CoRR, 2024)

Simultaneous estimation and variable selection for a non-crossing multiple quantile regression using deep neural networks. - Jungmin Shin; Seunghyun Gwak; Seung Jun Shin; Sungwan Bang (Stat. Comput., 2024)

Weighted support vector machine for extremely imbalanced data. - Jongmin Mun; Sungwan Bang; Jaeoh Kim (Comput. Stat. Data Anal., 2025)