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	Estimation of KL Divergence: Optimal Minimax Rate
	YuhengBu; ShaofengZou; VenugopalV.Veeravalli; YingbinLiang
刊名	IEEE Transactions on Information Theory
	2018
卷号	Vol.64 No.4页码:2648-2674
关键词	Estimation Entropy Upper bound Information theory Electronic mail Histograms Complexity theory Functional approximation mean squared error minimax lower bound plug-in estimator polynomial approximation
ISSN号	0018-9448;1557-9654
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5349511
专题	上海电子信息职业技术学院
作者单位	[ 1 ] Univ Illinois, ECE Dept, Coordinated Sci Lab, Urbana, IL 61801 USA [ 2 ] Syracuse Univ, Dept Elect Engn & Comp Sci, Syracuse, NY 13244 USA [ 3 ] Ohio State Univ, Dept Elect & Comp Engn, Columbus, OH 43210 USA
推荐引用方式 GB/T 7714	YuhengBu,ShaofengZou,VenugopalV.Veeravalli,et al. Estimation of KL Divergence: Optimal Minimax Rate[J]. IEEE Transactions on Information Theory,2018,Vol.64 No.4:2648-2674.
APA	YuhengBu,ShaofengZou,VenugopalV.Veeravalli,&YingbinLiang.(2018).Estimation of KL Divergence: Optimal Minimax Rate.IEEE Transactions on Information Theory,Vol.64 No.4,2648-2674.
MLA	YuhengBu,et al."Estimation of KL Divergence: Optimal Minimax Rate".IEEE Transactions on Information Theory Vol.64 No.4(2018):2648-2674.

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