Taeyoung Park

Professor | Department Chair
Department of Applied Statistics
College of Business and Economics
Yonsei University, Seoul 03722, Korea

Department of Applied Statistics | College of Business and Economics | Yonsei University
Academic Positions
    Yonsei University, Seoul, Korea
      (Tenured) Professor, Department of Applied Statistics, September 2018- Present
      Associate Professor, Department of Applied Statistics, September 2013 - August 2018 
      Assistant Professor, Department of Applied Statistics, September 2010 - August 2013
    University of Pittsburgh, Pittsburgh, PA
      Assistant Professor, Department of Statistics, September 2006 - August 2010
    Harvard University, Cambridge, MA
      Teaching Fellow, Department of Statistics, February 2002 - Jananuary 2006
Education
    Harvard University, Cambridge, MA
      Ph.D. in Statistics, May 2006
      A.M. in Statistics, March 2003
    Yonsei University, Seoul, Korea
      B.A. in Applied Statistics, February 2001
    University of Minnesota, Morris, MN
      Exchange Student in Statistics, May 2000
Academic Honors and Awards
    Outstanding Teaching Award, Yonsei University (2011, 2012, 2013, 2017)

    Cho-Heon Outstanding Research Award, Yonsei School of Business Alumni Association (12/2013)
    CxC Fellowship, School of Arts and Sciences, University of Pittsburgh (12/2006)
    Winner, Student Paper Competition, Section on Bayesian Statistical Science, ASA (08/2006)
    Certificate of Distinction in Teaching, Harvard University (2002, 2003, 2004, 2005)
Publications in Refereed Journals
  5. Park, T. and Min, S. (2013+). Partially collapsed Gibbs sampling for linear mixed-effects models. Communications in Statistics - Simulation and Computation, in press.
  6. Teel, C., Park, T., and Sampson, A. R. (2013+). On the EM algorithm for mixture models with known mixture component size. Communications in Statistics - Simulation and Computation, in press.
  7. Park, T., Krafty, R. T., and Sanchez, A. I. (2012). Bayesian semi-parametric analysis of Poisson change-point regression models: application to policy making in Cali, Colombia. Journal of Applied Statistics 39,2285-2298. [Abstract]
  8. Saqib, N., Park, S. C., Park, T., Rhee, R. Y., Chaer, R. A., Makaroun, M. S., and Cho, J.-S. (2012). Endovascular repair of ruptured abdominal aortic aneurysm does not confer survival benefits over open repair. Journal of Vascular Surgery 56, 614-619. [Abstract]
  9. Park, T., Jeong, J.-H., and Lee, J. W. (2012). Bayesian nonparametric inference on quantile residual life function: application to breast cancer data. Statistics in Medicine 31, 1972-1985. [Abstract]
  10. Chaar, C. I. O., Eid, R., Park, T., Rhee, R. Y., Abu-Hamad, G., Tzeng, E., Makaroun, M. S., and Cho, J.-S. (2012). Delayed open conversions after endovascular abdominal aortic aneurysm repair. Journal of Vascular Surgery 55, 1562-1569. [Abstract]
  11. Chuang, Y.-H., Mazumdar, S., Park, T., Tang, G., Arena, V. C., and Nicolich, M. J. (2011). Generalized linear mixed models in time series studies of air pollution. Atmospheric Pollution Research 2, 428-435. [PDF]
  12. Jeyabalan, G., Park, T., Rhee, R. Y., Makaroun, M. S., and Cho, J.-S. (2011). Comparison of modern open repair of infrarenal and pararenal abdominal aortic aneurysms on early outcomes and renal dysfunction at 1 year. Journal of Vascular Surgery 54, 654-659. [Abstract]
  13. Sanchez, A. I., Villaveces, A., Krafty, R. T., Park, T., Weiss, H. B., Fabio, A., Puyana, J. C., and Gutierrez-Martinez, M. I. (2011). Policies for alcohol restrictions and their effects on interpersonal violence deaths: a time-series analysis of homicides in Cali, Colombia. International Journal of Epidemiology 40, 1037-1046. [Abstract]
  14. Hogg, M. E., Morasch, M. D., Park, T., Flannery, W. D., Makaroun, M. S., and Cho, J.-S. (2011). Long-term sac behavior after endovascular abdominal aortic aneurysm repair with the excluder low-permeability endoprosthesis. Journal of Vascular Surgery 53, 1178-1183. [Abstract]
  15. Lee, H., Kashyap, V. L., van Dyk, D. A., Connors, A., Drake, J. J., Izem, R., Meng, X.-L., Min, S., Park, T., Ratzlaff, P., Siemiginowska, A., and Zezas, A. (2011). Accounting for calibration uncertainties in X-ray analysis: effective areas in spectral fitting. The Astrophysical Journal 731, 126-144. [Abstract]
  16. Park, T. (2011). Bayesian analysis of individual choice behavior with aggregate data. Journal of Computational and Graphical Statistics 20, 158-173. [Abstract]
  17. Cho, J.-S., Park, T., Kim, J. Y., Chaer, R. A., Rhee, R. Y., and Makaroun, M. S. (2010). Prior endovascular abdominal aortic aneurysm repair provides no survival benefits when the aneurysm ruptures. Journal of Vascular Surgery 52, 1127-1134. [Abstract]
  18. Chuang, Y.-H., Mazumdar, S., Park, T., Tang, G., Arena, V. C., and Nicolich, M. J. (2010). Bayesian model averaging approach in health effects studies: sensitivity analyses using PM10 and cardiopulmonary hospital admissions in Allegheny county, Pennsylvania and simulated data. Atmospheric Pollution Research 1, 161-167. [PDF]
  19. Park, T. and van Dyk, D. A. (2009). Partially collapsed Gibbs samplers: illustrations and applications. Journal of Computational and Graphical Statistics 18, 283-305. [Abstract]
  20. Park, T., van Dyk, D. A., and Siemiginowska, A. (2008). Searching for narrow emission lines in X-ray spectra: computation and methods. The Astrophysical Journal 688, 807-825. [Abstract]
  21. van Dyk, D. A. and Park, T. (2008). Partially collapsed Gibbs samplers: theory and methods. Journal of the American Statistical Association 103, 790-796. [Abstract]
  22. Park, T., Kashyap, V., Siemiginowska, A., van Dyk, D., Zezas, A., Heinke, C., and Wargelin, B (2006). Bayesian estimation of hardness ratios: modeling and computations. The Astrophysical Journal 652, 610-628. [Abstract]
Publications in Edited Volumes and Refereed Conferences
  1. van Dyk, D. A. and Park, T. (2011). Partially collapsed Gibbs sampling and path-adaptive Metropolis-Hastings in high-energy astrophysics. In Handbook of Markov Chain Monte Carlo (Editors: S. Brooks, A. Gelman, G. Jones, and X.-L. Meng), Chapman & Hall/CRC Press. [Link]
  2. Kashyap, V., Lee, H., Siemiginowska, A., McDowell, J., Rots, A., Drake, J., Ratzlaff, P., Zezas, A., Izem, R., Connors, A., van Dyk, D., and Park, T. (2008). How to handle calibration uncertainties in high-energy astrophysics. Proceedings of SPIE, the International Society for Optical Engineering 7016, 70160P.1-70160P.8. [Abstract]
  3. Park, T., van Dyk, D. A., and Siemiginowska, A. (2007). Fitting narrow spectral lines in high-energy astrophysics using incompatible Gibbs samplers. In Statistical Challenges in Modern Astronomy IV (Editors: G. J. Babu and E. D. Feigelson), Astronomical Society of the Pacific Conference Series 371, 437-438. [Abstract]
  4. van Dyk, D. A. and Park, T. (2004). Efficient EM-type algorithms for fitting spectral lines in high-energy astrophysics. In Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives (Editors: A. Gelman and X.-L. Meng), Wiley & Sons, New York, 285-296. [Link]
Books
  1. 박태영 (2012). 수리통계학 개론, 경문사. [Link]
  2. 강승호, 김철응, 김현중, 박상언, 박태영, 이학배, 전용호 (2012). EXCEL, SPSS, R로 배우는 통계학 입문, 자유아카데미. [Link]
Other Publications
  1. Jeyabalan, G., Kim, J. Y., Park, T., Chaer, R. A., Makaroun, M. S., and Cho, J. S. (2010). Comparison of modern open repair of infrarenal and pararenal abdominal aortic aneyrysms: early outcomes and late renal dysfunction. Journal of Vascular Surgery 51, 1072. [Link]
  2. Park, T. (2009). Statistical challenges in spectral analysis in high-energy astrophysics. ISBA Bulletin 16, 13-17. [PDF]
  3. Cho, J.-S., Park, T., Kim, J. Y., Rhee, R. Y., and Makaroun, M. S. (2009). Prior endovascular abdominal aortic aneurysm repair provides no survival benefits when the aneurysm ruptures. Clinics in Chest Medicine 50, 964. [PDF]
  4. Park, T. and van Dyk, D. A. (2006). Efficient Gibbs sampling techniques via functional incompatibility. Proceedings of the American Statistical Association, Bayesian Statistical Science Section [CD-ROM], Seattle, WA. (Winner of the 2006 Student Paper Competition in the ASA Section on Bayesian Statistical Science.) [Link]
  5. Park, T. (2006). Inference and efficient computation for highly structured models with applications. Ph.D. Thesis, Harvard University, Department of Statistics. [Link]
Teaching

Yonsei University
  • STA 1001. Introduction to Statistics 
  • STA 3124. Stochastic Process
  • STA 3126. Mathematical Statistics 1
  • STA 6010. Mathematical Statistics 1
  • STA 6170. Statistical Computing 
  • STA 6171. Statistical Computing 1
  • STA 6172. Statistical Computing 2
  • STA 6240. Applied Spatial Statistics
University of Pittsburgh
  • Stat 1000. Applied Statistical Methods (Spring/Fall 2007, Fall 2008, Spring/Fall 2009, Spring 2010)
  • Stat 1152. Introduction to Mathematical Statistics (Spring 2009)
  • Stat 1211/2210. Applied Categorical Data Analysis (Fall 2009)
  • Stat 1741. Applied Probability Theory (Spring 2010)
  • Stat 2611. Theory of Multivariate Analysis I (Spring 2008)
  • Stat 3341. Advanced Modern Statistical Computing I (Fall 2006)
  • Stat 3342. Advanced Modern Statistical Computing II (Fall 2008)
Harvard University
  • Stat 100. Introduction to Quantitative Methods (Spring 2002, Fall 2003, Fall 2004, Summer 2005)
  • Stat 110. Introduction to Probability (Fall 2005)
  • Stat 139. Statistical Sleuthing Through Linear Models (Spring 2005)
  • Stat 211. Statistical Inference (Spring 2003)
  • Stat 220. Bayesian Data Analysis (Fall 2002)
  • Stat 221. Statistical Computing Methods (Spring 2004)



Copyright ⓒ 2018 Taeyoung Park. All rights reserved.



03722 서울특별시 서대문구 연세로 50 연세대학교 상경대학 대우관 413호 박태영 교수