| 193 | -- | 194 | Stan Lipovetsky, Jong-Min Kim. Machine Learning in Applied Statistics |
| 195 | -- | 207 | Jong-Min Kim, Kee-Jae Lee, Wonkuk Kim. Variance estimation by multivariate imputation methods in complex survey designs |
| 209 | -- | 216 | Insuk Sohn, Sujong Kim, Jae-Won Lee, Ja-Yong Koo, Junsu Ko. Identifying novel NF-kB-regulated immune genes in the human genome using a Discrete Kernel Structured Support Vector Machine |
| 217 | -- | 226 | Jooyong Shim, Changha Hwang. Kernel-based orthogonal quantile regression model |
| 227 | -- | 237 | Hye-Seung Lee, Jeffrey P. Krischer. A new framework for prediction and variable selection for uncommon events in a large prospective cohort study |
| 239 | -- | 244 | Jong-Min Kim, Jea-Bok Ryu, Seung-Joo Lee, Sunghae Jun. Penalized regression models for patent keyword analysis |
| 245 | -- | 253 | Soyeon Park, Wonkuk Kim. Multifator dimensionality reduction method based on area under receiver operating characteristic curve |
| 255 | -- | 264 | Dipankar Mitra, Ranjit Kumar Paul. Hybrid time-series models for forecasting agricultural commodity prices |
| 265 | -- | 273 | Yoonha Choi, Joshua Babiarz, Ed Y. Tom, Giulia C. Kennedy, Jing Huang. Repurposing kinship coefficients as a sample integrity method for next generation sequencing data in a clinical setting |
| 275 | -- | 285 | Kath Bogie, Yifan Xu, Junheng Ma, Adah Zhang, Yuanyuan Wang, Kristine Zanotti, Jiayang Sun. Associations between diagnostic patterns and stages in ovarian cancer |
| 287 | -- | 301 | Haoda Fu, Jin Zhou. A unified approach for subgroup identification and individualized treatment recommendation with applications to randomized control trials and observational studies |