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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.[1] He has written numerous research papers about Markov chain Monte Carlo algorithms and other statistical methodology.

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.[2] He edited the journals Bayesian Analysis from 2003 to 2005 and Statistica Sinica from 2005 to 2008.[3] On August 14, 2012, Xiao-Li Meng was appointed dean of Harvard Graduate School of Arts and Sciences (GSAS).[4]

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[5] and of the American Statistical Association in 2004.[6]

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References

  1. ^ "Committee of Presidents of Statistical Societies: Presidents' Award: Past Award Recipients," National Institute of Statistical Sciences, accessed June 5, 2011, http://nisla05.niss.org/copss/PastAwardsPresidents.pdf Archived May 2, 2014, at the Wayback Machine..
  2. ^ Lock, Kari and Xiao-Li Meng. "Real-Life Module Statistics: A Happy Harvard  Experiment." International Conference on Teaching Statistics, Ljubljana, Slovenia, July 11–16, 2010, .
  3. ^ "Abbreviated Curriculum Vitae of Xiao-Li Meng," Department of Statistics, Harvard University, accessed June 5, 2011, http://www.stat.harvard.edu/Faculty_Content/Meng-cv.pdf.
  4. ^ "Xiao-Li Meng Appointed Dean of Harvard's Graduate School". Harvard Magazine. Retrieved 17 January 2013.
  5. ^ "IMS Fellows," Institute of Mathematical Statistics, accessed June 5, 2011, http://www.imstat.org/awards/honored_fellows.htm.
  6. ^ "ASA Fellows," American Statistical Association, accessed June 5, 2011, http://www.amstat.org/careers/fellowslist.cfm.

External links

This page was last edited on 10 October 2018, at 19:32
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