E. R. Lee and S. Park (2026). Distilling Conditional Image Generators into Spatial Effect Maps. NeurIPS 2026.
W. Jung, S. Park, H. G. Hong and E. R. Lee* (2026). Reduced Varying Coefficient Models for Regional Quantile Regression with Multiple Responses. Biometrics, 82(1)
S. Park and E. R. Lee* (2026). Overparametrized linear regression with noisy and missing data. Journal of the Korean Statistical Society, 55(2), 381–405.
S. Park, E. R. Lee^, H. Kim and H. Zhao (2026). Transfer learning under large-scale low-rank regression models. Journal of the American Statistical Association, 121(554), 1154–1166.
E. R. Lee, S. Park, E. Mammen and B. U. Park (2024) Efficient functional lasso kernel smoothing for high-dimensional additive regression . Annals of Statistics , 52, 1741 - 1773.
S. Park, E. R. Lee* and H. Zhao (2024) Low-rank regression models for multiple binary responses and their applications to cancer cell-line encyclopedia data. Journal of the American Statistical Association , 119, 202-216.
Kim, H., Lee, E.* and Park, S. (2023) Debiased inference for heterogeneous subpopulations in a high-dimensional logistic regression model, Scientific Reports, 13, 21979.
Park, S. , Kim, H. and Lee, E.* (2023) Regional quantile regression for multiple responses, Computational Statistics and Data Analysis , 188, 107826.
S. Park, E. R. Lee^ and G. Hong (2023) Varying-coefficients for regional quantile via KNN-based LASSO with applications to health outcome study, Statistics in Medicine , 42, 3903-3918.
E. R. Lee , S. Park, S. Lee and G. Hong (2023) Quantile forward regression for high-dimensional survival data . Lifetime Data Analysis , 29, 769-809.
E. R. Lee , J. Cho and S. Park (2022). Penalized kernel quantile regression for varying coefficient models. Journal of Statistical Planning and Inference , 217, 8-23.
S. Park and E. R. Lee* (2021) Hypothesis testing of varying coefficients for regional quantiles. Computational Statistics and Data Analysis , 159, 107204.
E. R. Lee and S. Park. (2021) Poisson reduced-rank models with sparse loadings. Journal of the Korean Statistical Society , 50, 1079-1097.
C. Jentsch, E. R. Lee* and E. Mammen (2021). Poisson reduced-rank models with an application to political text data , Biometrika , 108, 455-468.
C. Jentsch, E. R. Lee* and E. Mammen (2020). Time-dependent Poisson reduced rank models for political text data analysis, Computational Statistics and Data Analysis , 142, 1-20.
E. R. Lee , J. Cho and K. Yu (2019). A systematic review on model selection in high-dimensional regression, Journal of the Korean Statistical Society , 48,1-12.
E. R. Lee , K. H. Han and B. U. Park (2018). Estimation of errors-in-variables partially linear additive models. Statistica Sinica , 28, 2353-2373.
E. R. Lee* and E. Mammen (2016). Local linear smoothing for sparse high dimensional varying coefficient models. Electronic Journal of Statistics , 10, 855-894.
B. U. Park, E. Mammen, Y. K. Lee and E.R. Lee (2015). Varying coefficient regression models: a review and new developments. International Statistical Review , 83, 36-64.
E. R. Lee, H. Noh and B. U. Park (2014). Model selection via bayesian information criterion for quantile regression models. Journal of the American Statistical Association , 109, 216-229.
H. Noh and E. R. Lee* (2014). Component selection in additive quantile regression models. Journal of the Korean Statistical Society , 43, 439-452.
E. R. Lee and B. U. Park (2012). Sparse estimation in functional linear regression. Journal of Multivariate Analysis , 105, 1-17.
Y K. Lee, E. R. Lee and B. U. Park (2012). Principal component analysis in very high-dimensional spaces. Statistica Sinica , 22, 933-956.
P. Hall, E. R. Lee and B. U. Park (2009). Bootstrap-based penalty choice for the lasso, achieving oracle performance. Statistica Sinica , 19, 449-471.
Y. K. Lee and E. R. Lee (2008). Kernel methods for estimating derivatives of conditional quantiles. Journal of the Korean Statistical Society , 37, 365-374.
Y. K. Lee, E. R. Lee and B. U. Park (2006). Conditional quantile estimation by local logistic regression. Journal of Nonparametric Statistics , 18, 357-373.
* Corresponding author. ^ Co-first author.