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學(xué)術(shù)活動(dòng)

學(xué)術(shù)活動(dòng)

Sufficient Variable Selection Using Independence Measures for Continuous Responses-殷向榮 (美國(guó)肯塔基大學(xué))

發(fā)布時(shí)間:2018-07-09瀏覽次數(shù):3136文章來(lái)源:南京審計(jì)大學(xué)

主  題: Sufficient Variable Selection Using Independence Measures for Continuous Responses 

內(nèi)容簡(jiǎn)介: In this talk, we propose two sufficient variable selection procedures: one-stage and two-stage approaches using independence measures for continuous responses. Although any independence measure can be used, we use distance correlation and Hilbert-Schmidt Independence Criterion correlation to illustrate the two procedures. By comparing with some existing marginal screening methods, we show the advantages of the proposed procedures through simulation studies and a real data analysis. Our procedures are model-free and robust against model misspecification, especially useful, when the active predictors are marginally independent of the response

報(bào)告人: 殷向榮    教授    博導(dǎo)

時(shí)  間: 2018-07-12    16:00 

地  點(diǎn): 競(jìng)慧樓302 

舉辦單位: 統(tǒng)計(jì)與數(shù)學(xué)學(xué)院  澄園書(shū)院 


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