报告题目:Simultaneous Registration and Modelling for Multi-dimensional Functional Data
报告时间:2018年4月4日(星期三) 13:30-14:30
报告地点:尚贤楼1楼108报告厅
报告主持人: 曹春正 教授
报告内容简介:
The clustering and classification for functional data with misaligned problems has drawn much attention in the last decade. Most methods do the clustering/classification after those functional data being registered and there has been little research using both functional and scalar variables. In this talk, I will discuss a new approach allowing the use of both types of variables and also allowing simultaneous registration and clustering/classification. Numerical results based on both simulated data and real data will be presented.
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专家简介:
史建清,英国纽卡斯尔大学数学与统计学院教授、大数据与云计算博士生研究中心副主任,我校非全时教授,统计学国际知名学者,主要研究方向包括函数型数据分析、缺失数据和模型不确定性分析、医学统计以及大规模系统监控等,历任Journal of the Royal Statistical Society (Series C)等多家统计学顶尖杂志编委。在国际权威出版社Chapman & Hall出版专著《Gaussian Process Regression Analysis for Functional Data》,关于函数型数据分析等系列研究成果发表在Journal of the American Statistical Association、Journal of the Royal Statistical Society Series B、Biometrika、Biometrics等统计学顶尖杂志。合作论文荣获非参数统计杂志和美国统计协会非参数统计主题最佳论文奖。
数学与统计学院
江苏省统计科学研究基地
2018年4月2日