主  題: Efficient estimation of the nonparametric mean and covariance functions for longitudinal and sparse functional data

內(nèi)容簡(jiǎn)介: We consider the estimation of mean and covariance functions for longitudinal and sparse functional databy  using the full quasi-likelihood coupling a modification ofthe local kernel smoothing method. The proposed estimators areshown to be consistent, asymptotically normal, andsemiparametrically efficient in terms of their linearfunctionals. Their superiority to the competitors is furtherillustrated numerically through simulation studies. The method isapplied to analyze  AIDS study and atmospheric study.

報(bào)告人: 林華珍      教授   博導(dǎo)       國(guó)家杰青

時(shí)  間: 2017-12-04    10:30

地  點(diǎn): 競(jìng)慧東樓302

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