David John Aldous, FRS (born 13 July 1952) is a mathematician known for his research on 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 entered St. John's College, Cambridge, in 1970 and received his Ph.D. at the University of Cambridge in 1977 under his advisor, D. J. H. Garling. Since 1979 Aldous has been on the faculty at University of California, Berkeley.
He was awarded the Rollo Davidson Prize in 1980, the Loève Prize in 1993, and was elected a Fellow of the Royal Society in 1994. In 2004, Aldous was elected a Fellow of the American Academy of Arts and Sciences. In 2012 he became a fellow of the American Mathematical Society.
Some of My Favorite Open Problems in Mathematical Probability
Thursday, October 18, 2018
10:20AM - 11:10AM
C405 Wells Hall (WH)
MSU statistician attains uncommon Institute of Mathematical Statistics "Annals quadfecta" status
PhD student Nilanjan Chakraborty was recently presented with the William L. Harkness Award for outstanding teaching by a graduate student.
Mr. Andrew McDonald, an Honors College junior majoring in Computer Science in the College of Engineering; and Statistics, and Advanced Mathematics in the College of Natural Science, has been named a recipient of the nationally competitive Barry M. Goldwater Scholarship.
Professor Yijun Zuo has been elected as a Fellow of the Institute of Mathematical Statistics (IMS). Fellows of the IMS are selected based on “demonstrated distinction in research in statistics or probability,” and the fellowship process is highly competitive.
Institution: University of Pittsburgh
Title: Random Forests: Why They Work and Why That's a Problem
Date: October 19, 2021
Location: Zoom (Click here for meeting details)
Time: 10:20 AM - 11:10 AM Eastern Time