Ph.D. Statistics, Seoul National University, Feb 2011.
M.Sc. in Dept. of Statistics, Seoul National University, 2006.
B.Sc. in Dept. of Statistics, Seoul National University (cum laude), 2004.
Experience
Associate Professor, Department of Statistics, Sungkyunkwan University: March, 2020-
Assistant Professor, Department of Statistics, Sungkyunkwan University: March, 2016- February, 2020
Postdoctoral Researcher, Dept. of Economics, Univ. of Mannheim, Mannheim, Germany: March, 2011 -February, 2016
Postdoctoral Researcher, Inst. for Applied Mathematics, Heidelberg Univ., Heidelberg, Germany : January, 2015 - February 2016
Member of the SFB 884 "The Political Economy of Reforms", Univ. of Mannheim : March, 2011- February 2016
Research Interest
High dimensional statistical models, Model Selection, Nonparametric function estimation
Major Research Achievements
C. Jentsch, E. R. Lee* and E. Mammen (2020+). Poisson reduced-rank models with an application to political text data, Biometrika, In Press.
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, 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.
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.
Honors / Awards
"New statistical and computational methods for high dimensional and unstructured data" Basic Science Research Grant, National Research Foundation of Korea, 2019-2022.
"Nonparametric kernel smoothing for high-dimensional data analysis" New Researcher Grant, National Research Foundation of Korea, 2016-2019.
Uni. of Mannheim GESS Best Paper Award, 2014
The 2nd Institute of Mathematical Statistics Asia Pacific Meeting Travel Grant Award, 2012
Best doctoral dissertation award in College of Natural Sciences, Seoul National University, 2011
