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About Us

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Faculty - Statistics

  • Associate Professor
  • LEE, EUN RYUNG 홈페이지 바로가기

Education

  • 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