Nonparametric Regression, Deep Neural Network, Longitudinal models, Time Series, and Quantile regression.
Education
Ph.D.,Statistics, The Pennsylvania State University
B.S., Applied Mathematics, Korea Advanced Institute of Science and Technology (KAIST)
Courses Taught
STA 261 Statistics online
STA 301 Applied Statistics in person and online
STA 333 Intro to Nonparametric Statistics
STA 363 Intro to Statistical Modeling
STA 4/501 Probability
STA 4/562 Inferential Statistics
STA 4/563 Regression Analysis
STA 4/567 Statistical Learning
STA 4/583 Analysis of Forecasting Systems (Time Series Analysis)
STA 651/652 Topics in Statistics (Generalized Linear Model, Nonparametric Regression)
STA 664 Theory of Statistics I
STA 665 Theory of Statistics II
Publications
Fan, X., Lee, S., Kim, S., Kelly, B., Hong, H. and Kim, M. (2026) Causal Decomposition Random Forest of Survival Disparity. Biometrics, In press.
Lee, S., Kim, S., Hong, H., Kim, M. and Grantz, K. (2025) Assessing Longitudinal Health Disparities: A Decomposition and Inferential Methodology. Biostatistics, 26.
Wang, S., Kim, S., Cho, H. and Chang, W. (2024) Nonparametric predictive model for sparse and irregular longitudinal data. Biometrics, 80.
Cho, H. and Kim, S. (2024) Modeling the population mean outcome trajectory in an observational study with a guideline-based intervention. Statistica Sinica, 34, 1-23.
Xu, Z., Kim, S., and Zhao, Z. (2022) Locally stationary quantile regression for inflation and interest rates. Journal of Business and Economic Statistics, 40, 838-851.
Kim, S., Cho, H. and Kim, M. (2021) Predictive generalized varying-coefficient longitudinal model. Statistics in Medicine, 40, 6243-6259.
Kim, S., Cho, H. and Wu, C. (2021) Risk-predictive probability models with application to the National Growth and Health Study. Statistica Sinica, 31, 1415--1439.
Kim, S., Cho, H. and Zhang, X. (2019) Initial severity-dependent longitudinal model with application to a randomized controlled trial of women with depression. Statistics in Medicine, 38, 1678--1689.
Kim, S. and Zhao, Z. (2013) Unified inference for sparse and dense longitudinal models. Biometrika, 100, 203--212.
