Cheolwoo Park

According to our database, Cheolwoo Park authored at least 21 papers between 2005 and 2023.

Collaborative distances:

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

2023

Quantile estimation for encrypted data.

Minje Park, Jaeseon Kim, Sungchul Shin, Cheolwoo Park, Jong-June Jeon, Soon-Sun Kwon, Hosik Choi

Appl. Intell., November, 2023

Fréchet distance-based cluster analysis for multi-dimensional functional data.

Il-Suk Kang, Hosik Choi, Young Joo Yoon, Junyoung Park, Soon-Sun Kwon, Cheolwoo Park

Stat. Comput., August, 2023

Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy.

Bonwoo Lee, Jeongyoun Ahn, Cheolwoo Park

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation.

Junyoung Park, Jeongyoun Ahn, Cheolwoo Park

Proceedings of the International Conference on Machine Learning, 2023

2022

Low-rank, Orthogonally Decomposable Tensor Regression With Application to Visual Stimulus Decoding of fMRI Data.

J. C. Poythress, Jeongyoun Ahn, Cheolwoo Park

J. Comput. Graph. Stat., 2022

A group comparison in fMRI data using a semiparametric model under shape invariance.

Arunava Samaddar, Brooke S. Jackson, Christopher J. Helms, Nicole A. Lazar, Jennifer E. McDowell, Cheolwoo Park

Comput. Stat. Data Anal., 2022

Learning High Dimensional Multi-response Linear Models with Non-oracular Quantum Search.

Jinyang Chen, Cheolwoo Park, Yuan Ke

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

Kernel Methods for Radial Transformed Compositional Data with Many Zeros.

Junyoung Park, Changwon Yoon, Cheolwoo Park, Jeongyoun Ahn

Proceedings of the International Conference on Machine Learning, 2022

2017

Tracking concept drift using a constrained penalized regression combiner.

Li-Yu Wang, Cheolwoo Park, Kyupil Yeon, Hosik Choi

Comput. Stat. Data Anal., 2017

2015

A Nonparametric Kernel Approach to Interval-Valued Data Analysis.

Yongho Jeon, Jeongyoun Ahn, Cheolwoo Park

Technometrics, 2015

2013

Statistical inference and visualization in scale-space using local likelihood.

Cheolwoo Park, Jib Huh

Comput. Stat. Data Anal., 2013

2012

A resampling approach for interval-valued data regression.

Jeongyoun Ahn, Muliang Peng, Cheolwoo Park, Yongho Jeon

Stat. Anal. Data Min., 2012

2010

Analysis of dependence among size, rate and duration in internet flows

Cheolwoo Park, Félix Hernández-Campos, J. S. Marron, Kevin Jeffay, F. Donelson Smith

CoRR, 2010

2008

SiZer analysis for the comparison of regression curves.

Cheolwoo Park, Kee-Hoon Kang

Comput. Stat. Data Anal., 2008

2007

Visualization and inference based on wavelet coefficients, SiZer and SiNos.

Cheolwoo Park, Fred Godtliebsen, Murad S. Taqqu, Stilian Stoev, J. S. Marron

Comput. Stat. Data Anal., 2007

Support vector machines with adaptive L_q penalty.

Yufeng Liu, Hao Helen Zhang, Cheolwoo Park, Jeongyoun Ahn

Comput. Stat. Data Anal., 2007

2006

LASS: a tool for the local analysis of self-similarity.

Stilian Stoev, Murad S. Taqqu, Cheolwoo Park, George Michailidis, J. S. Marron

Comput. Stat. Data Anal., 2006

Gene selection using support vector machines with non-convex penalty.

Hao Helen Zhang, Jeongyoun Ahn, Xiaodong Lin, Cheolwoo Park

Bioinform., 2006

Capturing the Elusive Poissonity in Web Traffic.

Cheolwoo Park, H. Shen, J. S. Marron, Félix Hernández-Campos, Darryl Veitch

Proceedings of the 14th International Symposium on Modeling, 2006

2005

On the wavelet spectrum diagnostic for Hurst parameter estimation in the analysis of Internet traffic.

Stilian Stoev, Murad S. Taqqu, Cheolwoo Park, J. S. Marron

Comput. Networks, 2005

Long-range dependence in a changing Internet traffic mix.

Cheolwoo Park, Félix Hernández-Campos, J. S. Marron, F. Donelson Smith

Comput. Networks, 2005