David Aldous
From Wikipedia, the free encyclopedia
David John Aldous, FRS (born 13 July 1952) is a mathematician known for his research on mathematical probability theory and its applications, in particular in topics such as exchangeability, weak convergence, Markov chain mixing times, the continuum random tree and stochastic coalescence. He received his Ph.D. at the University of Cambridge in 1977 under advisor D.J.H. Garling,[1] and since 1979 has been on the faculty at University of California, Berkeley.
He was awarded the Loève Prize in 1993 and was elected a Fellow of the Royal Society in 1994.
Contents |
[edit] Selected publications
[edit] Books
- Aldous, David, Probability Approximations via the Poisson Clumping Heuristic. Springer-Verlag, New York (1989). 269 pp. ISBN: 0-387-96899-7
[edit] Papers
- Aldous, David, "Deterministic and stochastic models for coalescence (aggregation and coagulation): a review of the mean-field theory for probabilists". Bernoulli 5 (1999) pp. 3-48.
- Aldous, David, "Exchangeability and related topics". Lecture Notes in Math., 1117 (1985) pp 1-198. Springer, Berlin.
