Wook Y. Hwang, Ph.D.
Affiliations: | 2009 | North Carolina State University, Raleigh, NC |
Area:
Statistics, Biostatistics Biology, Bioinformatics BiologyGoogle:
"Wook Hwang"Parents
Sign in to add mentor| Subhashis Ghosal | grad student | 2009 | NCSU | |
| (Boosting methods for variable selection in high dimensional sparse models.) | ||||
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Publications
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| Hwang W. (2018) Assessing new correlation-based collaborative filtering approaches for binary market basket data Electronic Commerce Research and Applications. 29: 12-18 |
| Hwang WY. (2017) Chi-Square quantile-based multivariate variance monitoring for individual observations Communications in Statistics - Simulation and Computation. 46: 5392-5409 |
| Ghosal S, Turnbull B, Zhang HH, et al. (2016) Sparse Penalized Forward Selection for Support Vector Classification Journal of Computational and Graphical Statistics. 25: 493-514 |
| Hwang WY. (2016) A New Rank-based Multivariate CUSUM Approach for Monitoring the Process Mean Quality and Reliability Engineering International. 32: 1167-1178 |
| Hwang W, Lee J. (2015) Shifting artificial data to detect system failures International Transactions in Operational Research. 22: 363-378 |
| Hwang W, Lee J. (2014) Compromising Multiple Objectives in Production Scheduling: A Data Mining Approach Management Science and Financial Engineering. 20: 1-9 |
| Hwang WY, Jun CH. (2014) Supervised learning-based collaborative filtering using market basket data for the cold-start problem Industrial Engineering and Management Systems. 13: 421-431 |
| Hwang WY, Lee JS. (2014) A new forecasting scheme for evaluating long-term prediction performances in supply chain management International Transactions in Operational Research. 21: 1045-1060 |
| Ghosal S, Hwang WY, Zhang HH. (2009) FIRST: Combining forward iterative selection and shrinkage in high dimensional sparse linear regression Statistics and Its Interface. 2: 341-348 |
| Hwang W, Runger G, Tuv E. (2007) Multivariate statistical process control with artificial contrasts Iie Transactions (Institute of Industrial Engineers). 39: 659-669 |