主  題: Simultaneous Registration and Modelling for Multi-dimensional Functional Data

內容簡介: 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.
報告人: 史建清      教授    博導

時  間: 2018-04-03    15:00

地  點: 競慧東樓302

舉辦單位: 統計與數學學院  統計科學與大數據研究院