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09月18日 江苏高校优势学科概率统计前沿系列讲座之一百三十一

发布时间: 2020-09-15   浏览次数: 16

bao gao ren: zouzhangliang jiaoshou(nankaidaxue)

baogaotimu: estimation of low rank high-dimensional multivariate linear models

电竞投注baogaoshijian: 2020nian9yue18ri(zhouwuxiawu4: 00 )

baogaodidian: jiangsushifandaxueshuxueyutongjixueyuanxueshubaogaoting(jingyuanlou1506shi)

zouzhangliangjiaoshoujianjie:

电竞投注nankaidaxuetongjiyushujukexuexueyuanjiaoshou。2008nianyunankaidaxuehuoboshixuewei,suihouliuxiaorenjiao。zhuyaocongshitongjixuejiqiyushujukexuelingyudejiaochayanjiuheshijiyingyong。yanjiuxingqubaokuo: gaoweishujutongjituiduan、daguimoshujuliufenxi、biandianheyichangdianjiancedeng,zaiann.stat.、biometrika、j.am.stat.asso.、math. program.、technometrics、iise tran.dengtongjixuehegongyegongchenglingyuqikanshangfabiaolunwenjishipian,zhuchiguojiazirankexuejijinweizhongdaxiangmuketi、youqingxiangmu、jieqingxiangmudeng。

baogaozhaiyao: in this talk, i will introduce an intuitively appealing estimation approach for low rank high-dimensional multivariate linear models. the proposed procedure enjoys efficient computation. asymptotic properties are established to justify the estimation procedure theoretically. simulation studies show that the proposed estimator generally outperforms alternative methods under various circumstances.

 


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