Affiliate Professor

Technology Management, Economics and Policy Program
김용대 교수 | 자연과학대학 통계학과 사진
Yongdai Kim Professor | Department of Statistics

Fields of Interest

  • Survival Analysis
  • Bayesian Statistics
  • Statistical Learning and Data Mining
  • Model Selection
  • Big Data Analysis

Education

  • 1991 B.S. Department of Computer Science and Statistics, Seoul National University
  • 1993 M.S. Department of Statistics, Seoul National University
  • 1997 Ph.D. Department of Statistics, Ohio State University

Work Experience

  • 1997 – 1999 Researcher, National Institutes of Health, U.S.A.
  • 1999 – 2001 Assistant professor, Department of Information Statistics, Hankuk University of Foreign Studies
  • 2001 – 2004 Assistant professor, Department of Statistics, Ewha Womans University
  • 2004 – 2011 Assistant professor, Department of Statistics Seoul National University
  • 2011 – Professor, Department of Statistics Seoul National University

Publications

  1. Kim, Y. (1999). Nonparametric Bayesian estimators for counting processes, Annals of Statistics, 27, 562-588.
  2. Kim, Y. and Lee, J. (2001) On posterior consistency of survival models. Annals of Statistics, 29,666-686.
  3. Kim, Y. and Lee, J. (2003) Bayesian analysis of proportional hazard models. Annals of Statistics, 31, 493-511.
  4. Kim, Y. and Lee, J. (2003). Bayesian bootstrap for the Cox’s proportional hazard model. Annals of Statistics. 31, 1905-1922.
  5. Kim, Yongdai and Lee, Jaeyong (2004) A Bernstein von-Mises theorem in the nonparametric right-censored model, Annals of Statistics, 32, 1492-1512.
  6. Park, Eunsik and Kim, Yongdai (2004) Analysis of longitudinal data in case control studies, Biometrika, 91, 321-330.
  7. Kim, Yongdai (2006) The Bernstien -von Mises theorem for the proportional hazard model. Annals of Statistics, 34, 1678-1700.
  8. Pillar, Ramani, Kim, Yongdai and Lee, Hakbae (2008) On casting random effects model in a survival framework. JRSS-B, 70, 629-642.
  9. Kim, Yongdai, Choi, Hosik and Oh, Heeseok (2008). SCAD on high
  10. dimensions. Journal of the American Statistical Association, 103, 1655-1673.
  11. Kim, Yongdai and Kwon, Sunghoon (2012). Global optimality of nonconvex penalized estimators, Biometrika, 99(2) 315-325.
  12. Kim, Yongdai, James, Lancelot and Weissbach, Rafael. (2012). Bayesian analysis of a multi-state event history data: Beta-Dirichlet process, Biometrika 99(1), 127-140.
  13. Wang, Lan, Kim, Yongdai and Li, Runze (2013). Calibrating Non-convex Penalized Regression in Ultra-high Dimension. Accepted by Annals of Statistics


Technology Management, Economics and Policy Program