2018年10月21日 |  English version
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Simultaneous Registration and Modelling for Multi-dimensional Functional Data

报告题目:Simultaneous Registration and Modelling for Multi-dimensional Functional Data

报告人:史建清教授,英国纽卡斯尔大学

时间:2018年6月29日(周五)上午10:00-11:00

地点:行健楼学术报告厅665室

邀请人:杜秀丽、解锋昌、高启兵

摘要: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.

简介:Dr. Jian Qing Shi is a Reader in Statistics in the School of Mathematics, Statistics & Physics and assistant director of the Cloud Computing for Big Data CDT in Newcastle University, UK(英国纽卡斯尔大学数学统计和物理学院统计学教授,大数据和云计算博士生研究中心副主任)His research interests include functional data analysis, Bayesian nonparametric analysis for big data, missing data and applications in medicine and system control. He is the principal investigator of several big research projects, and has been visiting research fellow in Newton Institute in Cambridge UK and SAMSI in USA. He and his team have achieved many important and original research works, including two recent international best paper awards.

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