University of Pittsburgh

Faculty

Taeyoung Park

Taeyoung Park
Assistant Professor

2733 Cathedral of Learning
412-648-1851

http://www.stat.pitt.edu/tpark/

Education:

  • PhD in Statistics, Harvard University, 2006
  • MA in Statistics, Harvard University, 2003
  • BA in Applied Statistics, Yonsei University, 2001

Research Interests:

  • Statistical computing
  • Bayesian hierarchical modeling, especially in astrophysics and marketing
  • Missing data problems

Quote:

“Recent advances in statistical computing methods open up even more opportunities for statisticians.”

Courses:

  • STAT 1152, Introduction to Mathematical Statistics, Spring 2009
  • STAT 1000, Applied Statistical Methods, Spring 2009, Fall 2008, Fall 2007
  • STAT 2611, Theory of Multivariate Analysis, Spring 2008

Selected Publications:

Park, T. and van Dyk, D. A. (2009). "Partially Collapsed Gibbs Samplers: Illustrations and Applications." Journal of Computational and Graphical Statistics, accepted.

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.

van Dyk, D. A. and Park, T. (2008). "Partially Collapsed Gibbs Samplers: Theory and Methods." Journal of the American Statistical Association 103, 790-796.

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.

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.

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.