| 2019 | Vector error correction heterogeneous autoregressive forecast model of realized volatility and implied volatility | 신동완 | Article |
| 2017 | Bivariate preventive maintenance for repairable systems subject to random shocks | 차지환 | Article |
| 2017 | Parameter and quantile estimation for the generalized Pareto distribution in peaks over threshold framework | 송종우 | Article |
| 2017 | Fused sliced average variance estimation | 유재근 | Article |
| 2020 | A new general class of discrete bivariate distributions constructed by using the likelihood ratio | 차지환 | Article |
| 2017 | Multivariate reliability modelling based on dependent dynamic shock models | 차지환 | Article |
| 2017 | On preventive maintenance of systems with lifetimes dependent on a random shock process | 차지환 | Article |
| 2017 | Stationary bootstrapping for common mean change detection in cross-sectionally dependent panels | 신동완 | Article |
| 2017 | Modeling Discrete Bivariate Data with Applications to Failure and Count Data | 차지환 | Article |
| 2003 | Averaged boosting: A noise-robust ensemble method | 김용대 | Conference Paper |
| 2017 | Value at risk forecasting for volatility index | 신동완 | Article |
| 2019 | Semiparametric efficient estimators in heteroscedastic error models | 김미정 | Article |
| 2017 | On optimal grouping and stochastic comparisons for heterogeneous items | 차지환 | Article |
| 2017 | Robust gene selection methods using weighting schemes for microarray data analysis | 송종우 | Article |
| 2017 | Dimension test approach of heteroscedasticity in the linear model | 유재근 | Article |
| 2017 | Reliability sampling plan for repairable items following general failure process and its statistical analysis | 차지환 | Article |
| 2017 | Prediction of the residual failure processes based on the process history | 차지환 | Article |
| 2017 | Stationary bootstrapping for realized covariations of high frequency financial data | 신동완 | Article |
| 2017 | Estimation of structural mean breaks for long-memory data sets | 신동완 | Article |
| 2017 | EMSaov: An R package for the analysis of variance with the expected mean squares and its shiny application | 이은경; 김미정 | Article |
