Professor

Andrew Gelman

Columbia University
Area
Mathematical and Physical Sciences
Specialty
Mathematics, Applied Mathematics, and Statistics
Elected
2020
Gelman has published influential applied papers on public opinion and voting, the death penalty (this paper was mentioned in a U.S. Supreme Court opinion), redistricting, environmental decision making, and many other topics. He developed the method of multilevel regression and poststratification, which is becoming increasingly popular in surveys in social science and public health. On the methods side, his work has been directly influential within the subfields of statistical modeling, computing, and graphics, where he has advanced, through theory and example, a falsificationist approach to Bayesian data analysis; and also much more generally throughout science, via the development, with collaborators, statistical methods and software that are used by thousands of researchers in government, industry, and academia.
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