| Yuguo Chen | |
| Workplaces: | University of Illinois at Urbana-Champaign |
| Alma Mater: | University of Science and Technology of China Stanford University |
| Thesis Title: | Sequential Importance Sampling with Resampling: Theory and Applications |
| Thesis1 Title: | and |
| Thesis2 Title: | )--> |
| Thesis1 Url: | and |
| Thesis2 Url: | )--> |
| Thesis Year: | 2001 |
| Thesis1 Year: | and |
| Thesis2 Year: | )--> |
| Doctoral Advisor: | Tze Leung Lai Jun S. Liu |
| Doctoral Advisors: | )--> |
| Spouses: | )--> |
| Partners: | )--> |
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.
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]