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

內(nèi)容簡(jiǎn)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(bào)告人: 史建清      教授    博導(dǎo)

時(shí)  間: 2018-04-03    15:00

地  點(diǎn): 競(jìng)慧東樓302

舉辦單位: 統(tǒng)計(jì)與數(shù)學(xué)學(xué)院  統(tǒng)計(jì)科學(xué)與大數(shù)據(jù)研究院