MEMBERS

Professor:

• Cho, HyungJun, Ph.D. in Statistics, University of Wisconsin - Madison, 2002

PhD students in Statistics:

• Yun, Jinseong (E-mail: dbswlstjd92@naver.com)

MS students in Statistics:

• Oh, Jimin (E-mail: jijimo11@korea.ac.kr)

• Kim, Jungmin (E-mail: rlawjdalsdzze@korea.ac.kr)

• Kang, Ho-Bin (E-mail: blnei1213@korea.ac.kr)

• Cho, Se-Hyun (E-mail: chosh01@korea.ac.kr)

• Kim, Yeon-Ju (E-mail: kjhoeakjy@naver.com)

• Kim Ha-Min (E-mail: siru9170@naver.com)

PhD alumni in Statistics:

1. Moon, Ho Seok , "Decision Trees for Repeated Binary Data", 2010.02

2. Lee, Seok Hyung, "Residual-based Unbiased Decision Trees for Over-dispersed and Zero-inflated Count Data", 2014.02

3. Eo, Soo-Heang, "Tree-structured Regression Modeling for Longitudinal and Multi-response Data", 2015.02

4. Kim, Jae-Oh, "Multiple Qauntile Regression and Seemingly Unrelated Regression Trees", 2018.02 

5. Yu, Wenxing,"Tree-structured Modeling for Multivariate Response Data and Discrete Choice Data", 2024.02

6. Kim, Jeong Hwan, "Regression Trees for Censored Dependent Data and Zero Inflated Count Data", 2024.02

MS alumni in Statistics:

1. Kim, Sukwoo, "Fast Split Finding of Decision Tree for Multivariate Binary Data", 2009.02

2. Seo, Wonseok, "Reproducibility and Replication of High-dimensional Data", 2009.02

3. Jang, Ji Yeon, "Comparison Study of Data Mining Algorithms using Mixed-effects Model", 2009.02

4. Eo, Soo-heang, "Decision Tree for Longitudinal Data Analysis", 2009.08

5. Jung, Yon Hae, "Study for Improving the Performance of Data Mining Using Ensemble Techniques", 2010.02

6. Choi, Jin Soo, "Improving the Performance of Data Mining Methods for Continuous Response Variables", 2010.08

7. Wang, Na, "Variable Selection in Decision Trees", 2010.08

8. Choi, Jeea, "Gene Detection in Microarray Survival Data", 2011.02

9. Koo, Jaeun, "Comparison Study of Random Forests", 2011.02

10. Pak,  Dae Woo, "A Study on Correlated Binary and Continuous Outcomes", 2011.08

11. Woo, Hyun Seok, "Credit Scoring with Various Outcomes", 2012.08

12. Chun, Jae Hyuk, "Split Variable Selection in Decision Trees for Mixed Response Data", 2013.02

13. Lee, Han Earl, "A Study for Feasibility of Random Logistic Regression", 2013.02

14. Kim, Sun Mee, "A Comparison Study for Correcting Publication Bias in Meta-Analysis", 2013.02

15. Baek, Min Ji, "Comparison of Prediction Power of Decision Trees for Longitudinal Data Analysis", 2014.02

16. Kim, Hyo Bin, "Comparison of Decision Tree Software for Binary Data", 2014.02

17. Kim, Ji Woo,  "Study for Using Nominal Predictor Variables in Discrimination and Classification Analysis", 2015.02

18. Lee, Ji Eun,  "Comparison Study for Outlier Detection", 2015.02

19. Choi, Jeong-In, "Outlier Detection in Time Series Data", 2016.02

20. Choi, Joo-Sung, "Bradley-Terry Decision Tree", 2016.02

21. Lee, Seul, "Tree-structured Joint Modeling",  2016.02

22. Jung, Yeon-Joo, "Tree Model Construction for Item Responses ", 2017.02

23. Baek, Yoo-Min, "Hurdle Trees for Zero-inflated Count Data", 2017.08

24. Jang, Min-A, "Understanding and Applying Tobit and Heckit Models", 2018.02

25. Bang, Byung-Keon, "Comparison Study for Efficient Bump Hunting", 2018.02

26. Han, Ji-Soo, "Cluster Analysis with Mixed Data", 2018.02

27. Jeon, Yoo-Tak, "Model-based Hybrid Decision Trees", 2019.02

28. Wang, Hae-In, "Equating Test Scores", 2019.02

29. Kim, Suk-Hyun, "Correlated Predictors in Random Forests", 2019.08

30. Baek, Jihyeon, "Optimal Spits for Continuous Predictors", 2019.08

31. Jin, Se-Jong, "Seasonal Time Series Prediction using Machine Learning", 2020.02

32. Oh, InKwang, "Decision Trees for Censored Data", 2020.02

33. Cho, Woo-Ran, "Decision Trees for Analyzing Discrete Choice Data", 2020.02

34. Shin, Seung-Bum, "Correlated Variable Importance for Random Forests", 2021.02

35. Choi, Jong-Mook, "Split Variable Selection in Decision Trees for Censored Data", 2021.02

36. Kang, Dong-Gil, "Decision Trees for Mode Estimation", 2022.02

37. Jung, Hae-Sung, "Comparison of Subgroup Analysis Methods for Censored Data", 2022.02

38. Kim, Ho-Jung, "Comparison of Boosting Performance by Learner", 2022.08

39.  Choi, Hong-Seok, "Improving Correlated Variable Importance for Random Survival Forest",  2023.02

40.  Shin, Woong-Seob , "Variable Importance and Significance in Ensemble Methods",  2023.02

41.  Jeon, Bo-Min , "Comparison of Oversampling Techniques for improving Classifier Performance in Unbalanced Data",  2023.02

42. Lee, Si-Wook , "Relationship between Ensemble Performance by Node Size and Depth",  2024.02 

43. Jeong, Seo-rin, "Improvement of Correlated Predictor Variable Importance in XGBoost", 2024.02

44. Jeong, Sewan, "Regression Trees for Modeling Rates and Proportions", 2024.08

45. Jung, Bo-Kyung, "A Comparative Study of Methods and Sampling Techniques for Classification Performance on Imbalanced Data", 2025.02

46. Go, Tae-Young, "SMOTE-KLP: A KL Divergence-Based Oversampling Method with Probabilistic Assignment for Mixed-Type Imbalanced Data", 2025.08

47. Kim, Dong-Gyu, "An Information-Theoretic Distance for k-NN Classification: Enhancing Mixed-Type Data Analysis with Jensen–Shannon Divergence", 2025.08

MS alumni in Statistical Data Science:

1. Yong, Kwan, "Study for Credit Score Modeling through Data Mining Methodology", 2010.02

2. Jang, Jin Woo, "Insurance Risk Management through Data Mining", 2010.08

3. Lee, Hyun Jung, "Study on the Reliability of Contingent Valuation Method (CVM) through Simulation", 2011.02

4. Bing, Jin Hyung, "Predictive Model for Credit Card Membership using Statistical Analysis Technique", 2011.08

5. Jung, Seong Il, "Loyalty Classification and Churn Analysis of Retail Customers", 2012.02

6. Kang, Mi-Ok, "Statistical Prediction of Fixed Deposits in Banks", 2015.08

7. An, Aram, "Statistical Prediction of the World Cup Result from A-Match Game Results", 2015.08

8. Cho, Bak-Sa, "Building A Credit Scoring Model in FinTech using Data Mining Techniques", 2016.08

9. Seo, Yuna, "Analysis of Factors Determining House Trades in Seoul", 2017.02

10. Noh, Young-Joo, "Comparison Study of Data Mining Models for Predicting Employment Rates", 2017.02

11. Lee, Hyuna, "Store Clustering for Sales Strategy", 2017.08

12. Kim, Nam Kyu, "An Analysis of the Election Determining Factors of Incumbent National Assembly Members Using Data Mining Techniques: Focusing on the Elections for the 17th to 20th Members of the National Assembly", 2022.08

13. Yun,  Ha Yon, "Predictive Modeling for Bank Personal Loan", 2022.08