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From Wikipedia, the free encyclopedia
Xiao-Li Meng (Chinese: 孟晓犁; born 1963) is a Chinese American statistician and the Whipple V. N. Jones Professor of Statistics at Harvard University. He received the COPSS Presidents' Award in 2001.[2] He has written numerous research papers about Markov chain Monte Carlo algorithms and other statistical methodology.
Xiao-Li Meng | |
---|---|
孟晓犁 | |
Born | 1963 (age 60–61) |
Nationality | Chinese American |
Occupations |
|
Title | Whipple V. N. Jones Professor of Statistics |
Awards | COPSS Presidents' Award (2001) |
Academic background | |
Education | |
Thesis | Towards Complete Results for Some Incomplete-Data Problems (1990) |
Doctoral advisor | Donald Rubin[1] |
Academic work | |
Institutions | Harvard University |
Website | https://statistics.fas.harvard.edu/people/xiao-li-meng |
From 2004 to 2012, Meng was the Chair of Harvard's Department of Statistics, where he helped create innovative new statistics courses designed to give students a more positive impression of the subject.[3] He edited the journals Bayesian Analysis from 2003 to 2005 and Statistica Sinica from 2005 to 2008.[4] On August 14, 2012, Xiao-Li Meng was appointed dean of Harvard Graduate School of Arts and Sciences (GSAS).[5]
Meng received his B.Sc. from Fudan University in 1982 and his Ph.D. in statistics from Harvard University in 1990. He was elected a fellow of the Institute of Mathematical Statistics in 1997[6] and of the American Statistical Association in 2004.[7] He was elected fellow of the American Academy of Arts and Sciences (AAAS) in 2020.[8]
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