Professor

David Aldous

University of California, Berkeley
Statistician; Educator
Area
Mathematical and Physical Sciences
Specialty
Mathematics, Applied Mathematics, and Statistics
Elected
2004
Theoretical and applied probability.  Career theory research has covered topics such as weak convergence, exchangeability, Markov chain mixing times, continuum random trees, stochastic coalescence and spatial random networks. A central theme has been the study of large finite random structures, obtaining asymptotic behavior as the size tends to infinity via consideration of some suitable infinite random structure.  On the applied side, currently interested in articulating critically what mathematical probability says about the real world.
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