C. F. Jeff Wu | |
|---|---|
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| Born | 1949 (age 74–75) |
| Alma mater | National Taiwan University (BS) University of California, Berkeley (PhD) |
| Known for | EM convergence proof, resampling methods, industrial statistics, design and analysis of experiments |
| Awards | COPSS Presidents' Award, Shewhart Medal, R. A. Fisher Lectureship |
| Scientific career | |
| Fields | Statistics |
| Institutions | Georgia Institute of Technology, University of Michigan, University of Waterloo, University of Wisconsin-Madison |
| Doctoral advisor | Peter J. Bickel |
| Doctoral students | |
Chien-Fu Jeff Wu (born 1949) is a Taiwanese-American statistician. He is the Coca-Cola Chair in Engineering Statistics and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. He is known for his work on the convergence of the EM algorithm,[1] resampling methods such as the bootstrap and jackknife, and industrial statistics, including design of experiments, and robust parameter design (Taguchi methods).
- ^ Wu, C. F. Jeff (1983). "On the Convergence Properties of the EM Algorithm". The Annals of Statistics. 11 (1). Institute of Mathematical Statistics: 95–103. doi:10.1214/aos/1176346060. JSTOR 2240463.