Donald Rubin

来自集智百科 - 复杂系统|人工智能|复杂科学|复杂网络|自组织
是趣木木呀（讨论 | 贡献）2022年5月13日 (五) 09:26的版本
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唐纳德 鲁宾
Born
唐纳德 布鲁斯 鲁宾

1943年12月22日（79岁）
Known for鲁宾因果模型
最大期望算法
Scientific career
Fields统计学
Institutions教育测试服务
普林斯顿大学
威斯康辛-麦迪逊大学
芝加哥大学
哈佛大学
清华大学
天普大学
Doctoral advisorWilliam Gemmell Cochran
Doctoral students

Donald Bruce Rubin (born December 22, 1943) is an Emeritus Professor of Statistics at Harvard Universitywhere he chaired the department of Statistics for 13 years.He also works at Tsinghua University in China and at Temple University in Philadelphia

唐纳德·布鲁斯·鲁宾出生于1943年12月22日，是哈佛大学[1] 统计学名誉教授，担任了13年[2] 统计系主任，他还在中国的清华大学和费城的天普大学工作。.[3]

He is most well known for the Rubin causal model, a set of methods designed for causal inference with observational data, and for his methods for dealing with missing data.

他因反事实因果推断模型而被人所熟知，这是一套针对观察数据进行因果推断的方法，此外他在处理缺失数据方法上也有所贡献。

In 1977 he was elected as a Fellow of the American Statistical Association

1977年，他被评选为美国统计学会会员。[4]

Biography

Rubin was born in Washington, D.C. into a family of lawyers.[5] As an undergraduate Rubin attended the accelerated Princeton University PhD program where he was one of a cohort of 20 students mentored by the physicist John Wheeler (the intention of the program was to confer degrees within 5 years of freshman matriculation). He switched to psychology and graduated in 1965. He began graduate school in psychology at Harvard with a National Science Foundation fellowship, but because his statistics background was considered insufficient, he was asked to take introductory statistics courses.

鲁宾出生于华盛顿的一个律师世家[5]。在本科期间，鲁宾参加了普林斯顿博士速成项目（该项目在新生入学5年内授予学位），并且成为物理学家约翰·惠勒指导的20名学生中的一员。此后，他转学心理学，并于1965年毕业。他在哈佛大学攻读心理学研究生时获得了美国国家科学基金会的奖学金，但由于他的统计学背景不够深厚而被要求参加统计学导论课程。

Rubin became a PhD student again, this time in Statistics under William Cochran at the Harvard Statistics Department. After graduating from Harvard in 1970, he began working at the Educational Testing Service in 1971, and served as a visiting faculty member at Princeton's new statistics department. He published his major papers on the Rubin causal model in 1974–1980, and a textbook on the subject with econometrician Guido Imbens.[6]

鲁宾再次成为了一名博士生，这次是在哈佛大学统计系威廉 · 科克伦指导下的统计专业。1970年从哈佛大学毕业后，他于1971年开始在教育考试服务中心工作，并在普林斯顿大学新成立的统计系担任客座教授。他在1974-1980年间发表了关于反事实模拟等主要论文，并与计量经济学家Guido Imbens合著了一本关于这一主题的教科书。[6]

References

  1. ↑ "Donald B. Rubin". Harvard College. Retrieved September 18, 2019.
  2. ↑ "Donald B. Rubin" (PDF). Harvard College. Retrieved September 18, 2019.
  3. ↑ "Fox School, Temple University, appoints Rubin and Airoldi". IMS Bulletin. Institute of Mathematical Statistics. September 1, 2018. Retrieved October 23, 2018.
  4. ↑ View/Search Fellows of the ASA, accessed 2016-08-20.
  5. ↑ 5.0 5.1 Li, Fan; Mealli, Fabrizia (2014). "A Conversation with Donald B. Rubin". Statistical Science. 29 (3): 439–457. arXiv:1404.1789. Bibcode:2014arXiv1404.1789L. doi:10.1214/14-STS489. S2CID 58334768.
  6. ↑ 6.0 6.1 "Causal Inference in Statistics, Social, and Biomedical Sciences". Cambridge University Press. Cambridge University Press. Retrieved 24 February 2015.

External links

= = 外部链接 =

  • 鲁宾在哈佛大学统计系网站上的页面
  • 数学家谱项目中的鲁宾


Category:American statisticians Category:Survey methodologists Category:Harvard University faculty Category:Temple University faculty Category:Psychometricians Category:Educational psychologists Category:American psychologists Category:Princeton University alumni Category:1943 births Category:Living people Category:Bayesian statisticians Category:Fellows of the American Statistical Association Category:Members of the United States National Academy of Sciences Category:Harvard School of Engineering and Applied Sciences alumni Category:Corresponding Fellows of the British Academy

类别: 美国统计学家类别: 调查方法学家类别: 哈佛学院类别: 学院类别: 心理测量学家类别: 教育心理学家类别: 美国普林斯顿大学心理学家类别: 1943年出生类别: 活人类别: 贝叶斯统计学家类别: 美国统计协会类别: 美国国家科学院成员类别: 哈佛工程学院和应用科学类校友类别: 英国学院通讯研究员


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