A Conversation with Don Dawson

IF 3.9 1区 数学 Q1 STATISTICS & PROBABILITY
Bouchra R. Nasri, B. Rémillard, B. Szyszkowicz, Jean Vaillancourt
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引用次数: 1

Abstract

. Donald Andrew Dawson (Don Dawson) was born in 1937. He received a bachelor’s degree in 1958 and a master’s degree in 1959 from McGill University and a Ph.D. in 1963 from M.I.T. under the supervision of Henry P. McKean, Jr. Following an appointment at McGill University as professor for 7 years, he joined Carleton University in 1970 where he remained for the rest of his career. Among his many contributions to the theory of stochastic processes, his work leading to the creation of the Dawson–Watanabe superprocess and the analysis of its remarkable properties in describing the evolution in space and time of populations, stand out as milestones of modern probability theory. His numerous papers span the whole gamut of contemporary hot areas, notably the study of stochastic evolution equations, measure-valued processes, McKean–Vlasov limits, hierarchical structures, super-Brownian motion, as well as branching, catalytic and historical processes. He has over 200 refereed publications and 8 monographs, with an impressive number of citations, more than 7000. He is elected Fellow of the Royal Society and of the Royal Society of Canada, as well as Gold medalist of the Statistical Society of Canada and elected Fellow of the Institute of Mathematical Statistics. We realized this interview to celebrate the outstanding contribution of Don Dawson to 50 years of Stochastics at Carleton University.
与唐·道森的对话
唐纳德·安德鲁·道森(唐·道森饰)生于1937年。他于1958年获得麦吉尔大学学士学位,1959年获得硕士学位,1963年在小亨利·P·麦肯的指导下获得麻省理工学院博士学位。在麦吉尔大学担任教授7年后,他于1970年加入卡尔顿大学,在那里度过了他的职业生涯。在他对随机过程理论的众多贡献中,他创造了道森-渡边超过程,并分析了其在描述种群空间和时间进化方面的显著特性,这些都是现代概率论的里程碑。他的众多论文涵盖了当代热门领域的所有领域,尤其是对随机进化方程、测度值过程、McKean–Vlasov极限、层次结构、超布朗运动以及分支、催化和历史过程的研究。他有200多篇参考出版物和8部专著,引用次数惊人,超过7000次。他被选为加拿大皇家学会和皇家学会院士,加拿大统计学会金牌得主和数学统计研究所院士。我们意识到这次采访是为了庆祝唐·道森对卡尔顿大学50年斯多葛学派的杰出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Statistical Science
Statistical Science 数学-统计学与概率论
CiteScore
6.50
自引率
1.80%
发文量
40
审稿时长
>12 weeks
期刊介绍: The central purpose of Statistical Science is to convey the richness, breadth and unity of the field by presenting the full range of contemporary statistical thought at a moderate technical level, accessible to the wide community of practitioners, researchers and students of statistics and probability.
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