Research

My research interests include


  • Sufficient dimension reduction
  • Fucntional data analysis
  • Statistical quality control: monitoring, outlier detection, prediction, control chart.
  • Statistical learning and data science: classification, regression, dimension reduction, clustering, visualization, random forests and trees, deep learning.


Sufficient dimension reduction


Reference

  • Minjee Kim*, Yujin Park*, Kyongwon Kim, and Jae Keun Yoo. (2025). Nonlinear functional sufficient dimension reduction via principal fitted components. Statistics and Computing. (*: Co-first Author)
  • Yujin Park, Kyongwon Kim, and Jae Keun Yoo. (2025). On sufficient dimension reduction methods based on a graphical model with non-concave penalty. Statistics and Computing.
  • Jae Keun Yoo, Yujin Park and Beomseok Seo. (2024). Using noise filtering and sufficient dimension reduction method on unstructured economic data. The Korean Journal of Applied Statistics.
  • Yujin Park, Kyongwon Kim, and Jae Keun Yoo. (2022). On cross-distance selection algorithm for hybrid sufficient dimension reduction. Computational Statistics & Data Analysis.


Fucntional data analysis


Reference

  • Minjee Kim*, Yujin Park*, Kyongwon Kim, and Jae Keun Yoo. (2025). Nonlinear functional sufficient dimension reduction via principal fitted components. Statistics and Computing. (*: Co-first Author)
  • Yujin Park, Yoonhee Choi, Kyongwon Kim, and Jae Keun Yoo. (2022). Machine learning approach for study on subway passenger flow. Scientific Reports.