Name Larry Wasserman | Education University of Toronto | |
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Institutions Carnegie Mellon University Alma mater University of Toronto (Ph.D, 1988) Notable awards American Statistical Association Fellow (1996)
Institute of Mathematical Statistics Fellow (2004)
American Association for the Advancement of Science Fellow (2010)
COPSS Presidents' Award (1999)
CRM-SSC Prize (2002)
DeGroot Prize (2005) Books All of Statistics: A Concise Course in Statistical Inference Fields Statistics, Machine learning | ||
Larry A. Wasserman is a Canadian statistician and a professor in the Department of Statistics and the Machine Learning Department at Carnegie Mellon University.
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Biography
Wasserman received his PhD from the University of Toronto in 1988.
He received the COPSS Presidents' Award in 1999 and the CRM-SSC Prize in 2002.
He was elected a fellow of the American Statistical Association in 1996, of the Institute of Mathematical Statistics in 2004, and of the American Association for the Advancement of Science in 2011. He was elected to National Academy of Science 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 Statistics and All of Nonparametric Statistics.