Larry Alan Wasserman (born 1959) is a Canadian-American statistician and a professor in the Department of Statistics & Data Science and the Machine Learning Department at Carnegie Mellon University.

Biography Wasserman received his Ph.D. from the University of Toronto in 1988 under the supervision of Robert Tibshirani.

He received the COPSS Presidents' Award in 1999"Committee of Presidents of Statistical Societies: Presidents' Award: Past Award Recipients," National Institute of Statistical Sciences, accessed August 14, 2011, http://nisla05.niss.org/copss/PastAwardsPresidents.pdf . and the CRM-SSC Prize in 2002."The 2002 CRM-SSC Prize is awarded to Larry Wasserman,"Centre de recherches mathématiques, accessed August 14, 2011, http://www.crm.umontreal.ca/prix/prixCRM-SSC/2002_CRM-SSC_an.html.

He was elected a fellow of the American Statistical Association in 1996,"ASA Fellows," American Statistical Association, accessed August 14, 2011, http://www.amstat.org/careers/fellowslist.cfm . of the Institute of Mathematical Statistics in 2004,"IMS Fellows," Institute of Mathematical Statistics, accessed August 14, 2011, http://www.imstat.org/awards/honored_fellows.htm and of the American Association for the Advancement of Science in 2011. He was elected to National Academy of Sciences in May, 2016.

Selected works Wasserman has written many research papers about nonparametric inference, asymptotic theory, causality, and applications of statistics to astrophysics, bioinformatics, and genetics. He has also written two advanced statistics textbooks, All of StatisticsWasserman, Larry. All of Statistics: A Concise Course in Statistical Inference. New York: Springer, 2004. and All of Nonparametric Statistics.Wasserman, Larry. All of Nonparametric Statistics. New York: Springer, 2006.

2004. All of Statistics: A Concise Course in Statistical Inference. Springer-Verlag, New York. won DeGroot Prize 2005. 2006. All of Nonparametric Statistics. Springer. 2013. Topological Inference. Rietz Lecture 2013.

Honors and awards 2016, Member of National Academy of Sciences Wasserman was elected to National Academy of Sciences in recognition of his distinguished and continuing achievement in original research.Larry Wasserman Elected To National Academy of Sciences

See also Peer review Computational thinking

References

External links Wasserman's home page Wasserman's Blog on Statistics and Machine Learning