Sungwan Bang

According to our database, Sungwan Bang authored at least 10 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A least distance estimator for a multivariate regression model using deep neural networks.

Jungmin Shin, Seung Jun Shin, Sungwan Bang

CoRR, 2024

2023

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., August, 2023

2017

Hierarchically penalized support vector machine with grouped variables.

Sungwan Bang, Jongkyeong Kang, Myoungshic Jhun, Eunkyung Kim

Int. J. Mach. Learn. Cybern., 2017

Composite kernel quantile regression.

Sungwan Bang, Soo-Heang Eo, Myoungshic Jhun, HyungJun Cho

Commun. Stat. Simul. Comput., 2017

2016

Simultaneous estimation for non-crossing multiple quantile regression with right censored data.

Sungwan Bang, HyungJun Cho, Myoungshic Jhun

Stat. Comput., 2016

Adaptive lasso penalised censored composite quantile regression.

Sungwan Bang, HyungJun Cho, Myoungshic Jhun

Int. J. Data Min. Bioinform., 2016

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

Weighted Support Vector Machine Using <i>k</i>-Means Clustering.

Sungwan Bang, Myoungshic Jhun

Commun. Stat. Simul. Comput., 2014

2012

Simultaneous estimation and factor selection in quantile regression via adaptive sup-norm regularization.

Sungwan Bang, Myoungshic Jhun

Comput. Stat. Data Anal., 2012

2010

Support Vector Machine Using <i>k</i>-Spatial Medians Clustering and Recovery Process.

Sungwan Bang, Ja-Yong Koo, Myoungshic Jhun

Commun. Stat. Simul. Comput., 2010