为了纪念许宝騄先生在统计和概率领域的开创性贡献，尤其是他对中国统计和概率界的杰出贡献,丘成桐数学科学中心于2011年设立清华大学许宝騄讲座。该奖将每年颁给一位在统计和概率方面做出杰出贡献的个人。获奖者将受邀来清华大学发表演讲，并接受证书以及奖金。
2015清华大学许宝騄讲座
报告人：David Aldous教授，加州大学伯克利分校
时间：16:30-17:30，5月8日，12日，
地点：清华大学近春园西楼三楼报告厅
报告人介绍：
David Aldous教授是一个以在概率论及其应用领域的研究而著名的数学家。Aldous教授于1977年在剑桥大学获得博士学位，并自1979以来一直在加利福尼亚大学伯克利分校任教。
David Aldous是《Probability Approximations via the Poisson Clumping Heuristic》一书的作者，并与Jim Fill 一起合著了备受关注的名为“Reversible Markov Chains and Random Walks on Graphs”的尚未完稿的在线著作。Aldous教授在概率论方面的研究涵盖弱收敛、可交换性、马尔可夫链的混合时间、连续型随机树，随机聚合和空间随机网络等多个方面。大型随机结构是他研究的一个中心主题，特别是通过构造合适的无限随机结构来获得其的尺度趋于无穷大时的渐近行为。最近，他开始专注于批判性地用概率论的思维来阐述现实世界。
David Aldous教授获得了许多的荣誉，包括1980年Rollo Davidson奖，1993年Loève奖等。他还是英国皇家学会会士及美国科学院外籍院士。
The Tsinghua University Pao-Lu Hsu Distinguished Lecture was established in 2011 by Yau Mathematical Sciences Center to honor the fundamental contributions of Pao-Lu Hsu to statistics and probability and the foundations he laid for the development of the field in China. The lectureship is awarded annually to an individual who has made outstanding scholarly contributions to the advancement of statistical methodology and probability theory, or their application in the sciences. The recipient will deliver a public lecture at Tsinghua University. The award includes round-trip travel to Beijing, a citation and a cash prize.
2015 Tsinghua University Pao-Lu Hsu Distinguished Lecture
Speaker: David Aldous
Professor of University of California, Berkeley
Fellow of the Royal Society (U.K.)
Foreign Associate of USA National Academy of Sciences
Time: 16:30-17:30, May 8 (Fri.), May 12 (Tue.)
Place: Lecture Hall, Floor 3, Jin Chun Yuan West Building, Tsinghua University
Titles and Abstracts
Lecture 1: Interacting particle systems as stochastic social dynamics
Abstract: The style of mathematical models known to probabilists as Interacting Particle Systems and exemplified by the Voter, Exclusion and Contact processes have found use in many academic disciplines. Often the underlying conceptual picture is of a social network, where individuals meet pairwise and update their "state" (opinion, activity etc) in a way depending on the two previous states. This picture motivates a precise general setup we call Finite Markov Information Exchange (FMIE) processes. The talk will briefly describe a few less familiar models (Averaging, Deference, Fashionista) suggested by the social network picture, as well as some more familiar ones.
Lecture 2: The Compulsive Gambler and the Metric Coalescent
Abstract: In the Compulsive Gambler process there is a finite set of agents who meet pairwise at random times (i and j meet at times of a Poisson process) and, upon meeting, play an instantaneous fair game in which one wins the other's money. The process seems pedagogically interesting as being intermediate between coalescent-tree models and interacting particle models, and because of the variety of techniques available for its study. Some techniques are rather obvious (martingale structure; comparison with Kingman coalescent) while others are more subtle (an "exchangeable over the money elements" property, and a "token process" construction reminiscent of the Donnelly-Kurtz look-down construction). Also one can study both kinds of n \to \infty limit. The process can be defined under weak assumptions on a countable discrete space (nearest-neighbor interaction on trees, or long-range interaction on the d-dimensional lattice) and there is also a continuous-space extension called the Metric Coalescent, studied by my student Daniel Lanoue.
Introduction of David Aldous
David Aldous is a mathematician known for his research on probability theory and its applications. He is Professor in the Statistics Dept at U.C. Berkeley, since 1979. He received his Ph.D. from Cambridge University in 1977.
David Aldous is the author of "Probability Approximations via the Poisson Clumping Heuristic" and (with Jim Fill) of a notorious unfinished online work "Reversible Markov Chains and Random Walks on Graphs". His research in mathematical probability has covered 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. He has recently become interested in articulating critically what mathematical probability says about the real world.
He was awarded the Rollo Davidson Prize in 1980, the Loève Prize in 1993. He is a Fellow of the Royal Society (U.K.), a foreign associate of the National Academy of Sciences (USA). |
