Seeun Park

I am a Ph.D. student in Statistics at Seoul National University, under the supervision of Prof. Hee-seok Oh , and expect to graduate in February 2027. I received my B.S. in Statistics from Seoul National University in February 2022.

My primary research interests include dimension reduction, asymmetric-norm based methods, and spatio-temporal data analysis. Contact me via jo9373@snu.ac.kr.

Publications (* : Equal contribution)
- Seeun Park and Hee-Seok Oh (2026). Tail-oriented Factor Models using Expectiles. Journal of Business & Economic Statistics. Accepted for publication. [R code]
- Kyusoon Kim*, Seeun Park*, Ha-Young Shin*, Jisoo Choi, Jihoon Ha, Joonpyo Kim, Youngwook Kwon, Seoncheol Park, and Seungwoo Kang (2026). Extremal PCA-Based Synthetic Event Generation for the Inference of Extreme Precipitation. Extremes. Accepted for publication. [R code]
- Seeun Park, Hee-Seok Oh, and Yaeji Lim (2025). Combined quantile forecasting for high-dimensional non-Gaussian data. Environmetrics, 36(6), e70035. [R code]
- Seungwoo Kang*, Kyusoon Kim*, Youngwook Kwon*, Seeun Park*, Seoncheol Park*, Ha-Young Shin*, Joonpyo Kim, and Hee-Seok Oh (2025). Semiparametric approaches for the inference of univariate and multivariate extremes. Extremes, 28, 123-148. [R code]

Preprints and Working Papers
- Seeun Park and Hee-Seok Oh (2026). A data-adaptive factor model using composite quantile approach. Submitted. [arxiv] [R code]
- Seeun Park and Hee-Seok Oh (2026). Discriminative factor model for identifying target-specific structure in high-dimensional data. Working paper.

Conference Talks
- IMS Anuual Meeting, Salzburg, Austria, 2026.07
  - Title: Tail-oriented factor models using expectiles
- Royal Statistical Society (RSS) International Conference, Edinburgh, UK, 2025.09
  - Title: A data-adaptive factor model using composite quantile approach
- Korean Statistical Society Conference, Seoul, Korea, 2025.06
  - Title: A data-adaptive factor model using composite quantile approach
- IMS Asia Pacific Rim Meeting (IMS-APRM), Melbourne, Australia, 2024.01
  - Title: Combined quantile forecasting for high-dimensional non-Gaussian data
- Korean Statistical Society Conference, Seoul, Korea, 2023.12
  - Title: Combined quantile forecasting for high-dimensional non-Gaussian data
- The 10th World Congress in Probability and Statistics, Virtual, 2021.06
  - Title: Geum River network data analysis via weighted PCA (Poster)

Page updated

Report abuse