*: corresponding author / ^: equal contribution
Moon, S.H., Lee, Y.K*., and Park, B.U. Generalized parametric help in Hilbertian additive regression. J. Korean Stat. Soc. 53, 1205–1225 (2024). https://doi.org/10.1007/s42952-024-00283-2
Moon, S.H., Park, B.U., and Lee, Y.K*. Varying coefficient regression: Revisit and parametric help. Bernoulli. 31 (4), 2569 - 2596 (2025). https://doi.org/10.3150/24-BEJ1817
Moon, S.H., Park, B.U., E. Mammen, and Lee, Y. K*. Identification and estimation of interaction effects in nonparametric additive regression. Biometrika, 113(1), asaf074 (2026), https://doi.org/10.1093/biomet/asaf074
Lee, Y. K., Mammen, E., Moon, S. H., & Park, B. U. Functional lasso kernel smoothing for additive regression with interaction effects. Journal of Multivariate Analysis, 105636 (2026), https://doi.org/10.1016/j.jmva.2026.105636
*: corresponding author / ^: equal contribution
Moon, S.H., and Park B.U*. Minimax optimal transfer learning for high-dimensional additive regression. submitted to Annals of Statistics.
Baek, C.R^*., Moon, S.H^., and Lee, S.H^. KRED: Korea research economic database for macroeconomic research. submitted to Journal of Asian Economics.
Some impossibility results on semi-supervised linear regression
Transfer learning and locally linear regression for locally stationary time series
Additive Nonparametric Nonstationary Regression via Generalized Smooth Backfitting (co-author)