Modern Computing Implementing Classical, But Heretofore Unnurtured Statistical Ideas
报告人：Donald B. Rubin
报告地点：图书馆二楼报告厅
报告时间：2019年03月30日星期六10:20-11:20
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报告摘要：
Many seeds of important statistical ideas were never nurtured in the 20th century because of the absence of modern computing. One of the most important of these is the use of rerandomization to eliminate bad allocations from the set of possible allocations. New mathematical results are immediate and important practical consequences are abundant. Several examples will be presented, from simple “A/B” or “treatment/control” evaluations, to situations involving multi-factorial experiments, including fractional and sequential designs. The research area is essentially unexplored and thus wide open for innovative work bridging classical statistics and modern machine learning.
主讲人简介：
Donald B. Rubin is Professor of Statistics at the YCMS, Tsinghua University in Beijing, China and Senior Fellow at Temple University in Philadelphia, USA. He is Emeritus Professor of Statistics at Harvard University, where he had been professor for 35 years, as well as the Department Chair for 13 of those years. He has received honorary doctorate degrees from Otto Friedrich University, Bamberg, Germany; University of Ljubljana, Slovenia; Universidad Santo Tomás, Bogotá, Colombia; Uppsala University, Sweden; and Northwestern University, Evanston, Illinois. He has also received honorary professorships from University of Utrecht, The Netherlands; Shanghai Finance University, China; Nanjing University of Science & Technology, China; Xi'an University of Technology, China; and University of the Free State, Republic of South Africa.
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