*: 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.
Transfer learning and locally linear regression for locally stationary time series
Additive Nonparametric Nonstationary Regression via Generalized Smooth Backfitting (co-author)
Projection-based semi-supervised linear regression