报告名称： Determining Causality
报告人：Brian D.O. Anderson教授
报告时间：3月22日下午13:30-14:30
报告地点：二教南228会议室
报告简介：A control systems problem addressed several decades ago was to determine from measurements on different parts of a system whether there was feedback present in the system or not. Such problems as it turned out were of very great interest to economists, who studied this sort of question intensively. The name of Nobel prize-winning economist, Clive Granger, is part of the term Granger Causality, which is a cohesive body of ideas in stochastic processes, relevant to treating the question. More recently, such questions have arisen in theoretical and experimental studies in functional neuroimaging, which can attempt to find directional pathways in the brain.
This talk introduces a number of examples of causality and then reviews the definition of Granger causality and several characterizations of it. Granger causality is related to, but not identical with, physical causality. Then recent joint work with M Deistler and J.-M.Dufour is reviewed, examining the effect of measurement noise, measurement filtering and subsampling of measured signals on conclusions of a Granger causality nature.
报告人简介：Brian D.O. Anderson教授是澳大利亚科学院院士、澳大利亚工程院院士、英国皇家学会会士、美国工程院外籍院士、IEEE Life Fellow、IFAC Fellow，现为澳大利亚国立大学荣休教授、澳大利亚国家信息通信技术研究院杰出研究员、杭州电子科技大学杰出教授。Anderson教授也是一位杰出的教学、科学研究组织者和领导者。他是澳大利亚国立大学工程学院的首位教授和首位系主任，也是澳洲国家信息通信技术研究院的创建CEO，并一直担任澳大利亚科学技术委员会委员、澳大利亚总理科学顾问等职务。曾任国际自动控制联合会（IFAC）主席、澳大利亚科学院院长，获得过澳大利亚政府和国际学术组织的许多奖励。他长期致力于信号、系统与控制领域的研究，在电路、信号处理与控制领域作出杰出贡献，已出版著作10本，发表学术论文800多篇，是信号、系统与控制领域国际公认的领军人物之一。
报告人：Brian D.O. Anderson教授
报告时间：3月22日下午13:30-14:30
报告地点：二教南228会议室
报告简介：A control systems problem addressed several decades ago was to determine from measurements on different parts of a system whether there was feedback present in the system or not. Such problems as it turned out were of very great interest to economists, who studied this sort of question intensively. The name of Nobel prize-winning economist, Clive Granger, is part of the term Granger Causality, which is a cohesive body of ideas in stochastic processes, relevant to treating the question. More recently, such questions have arisen in theoretical and experimental studies in functional neuroimaging, which can attempt to find directional pathways in the brain.
This talk introduces a number of examples of causality and then reviews the definition of Granger causality and several characterizations of it. Granger causality is related to, but not identical with, physical causality. Then recent joint work with M Deistler and J.-M.Dufour is reviewed, examining the effect of measurement noise, measurement filtering and subsampling of measured signals on conclusions of a Granger causality nature.
报告人简介：Brian D.O. Anderson教授是澳大利亚科学院院士、澳大利亚工程院院士、英国皇家学会会士、美国工程院外籍院士、IEEE Life Fellow、IFAC Fellow，现为澳大利亚国立大学荣休教授、澳大利亚国家信息通信技术研究院杰出研究员、杭州电子科技大学杰出教授。Anderson教授也是一位杰出的教学、科学研究组织者和领导者。他是澳大利亚国立大学工程学院的首位教授和首位系主任，也是澳洲国家信息通信技术研究院的创建CEO，并一直担任澳大利亚科学技术委员会委员、澳大利亚总理科学顾问等职务。曾任国际自动控制联合会（IFAC）主席、澳大利亚科学院院长，获得过澳大利亚政府和国际学术组织的许多奖励。他长期致力于信号、系统与控制领域的研究，在电路、信号处理与控制领域作出杰出贡献，已出版著作10本，发表学术论文800多篇，是信号、系统与控制领域国际公认的领军人物之一。