Yuguo Chen is a professor of statistics at the University of Illinois at Urbana-Champaign. His work mainly focuses on Markov chain Monte Carlo algorithms and network analysis.
Yuguo Chen | |
|---|---|
| Alma mater | University of Science and Technology of China Stanford University |
| Scientific career | |
| Institutions | University of Illinois at Urbana-Champaign |
| Thesis | Sequential Importance Sampling with Resampling: Theory and Applications (2001) |
| Doctoral advisor | Tze Leung Lai Jun S. Liu |
| Website | publish |
He received a B.S. in mathematics from University of Science and Technology of China in 1997 and a Ph.D. in statistics at Stanford University in 2001[1] under the supervision of Tze Leung Lai and Jun S. Liu.[2] Prior to joining the University of Illinois, he was an assistant professor at the Institute of Statistics and Decision Sciences at Duke University from 2001 to 2005.[3]
Chen was named a Fellow of the American Statistical Association in 2018.[4]
Selected publications edit
- "State and parameter estimation of hydrologic models using the constrained ensemble Kalman filter". Water Resources Research. doi:10.1029/2008WR007401
- "Sequential Monte Carlo Methods for Statistical Analysis of Tables". Journal of the American Statistical Association 100:109–120. doi:10.1198/016214504000001303
References edit
- ^ "Yuguo Chen IEEE Xplore Author Details". IEEE Xplore. Retrieved 19 April 2020.
- ^ "Yuguo Chen". Mathematics Genealogy Project. Retrieved 19 April 2020.
- ^ "Yuguo Chen". University of Illinois at Urbana-Champaign Department of Statistics. Retrieved 19 April 2020.
- ^ "Many Honored at President's Address, Awards Ceremony". Amstat News. October 1, 2018. Retrieved 2022-06-20.
External links edit
- University of Illinois homepage
- Yuguo Chen publications indexed by Google Scholar