Entropy expressions for multivariate continuous distributions

被引：59

作者：

Darbellay, GA ^{[1
]}

Vajda, I ^{[1
]}

机构：

[1] Acad Sci Czech Republ, Inst Informat Theory & Automat, CR-18208 Prague, Czech Republic

来源：

关键词：

differential entropy; mutual information;

D O I：

10.1109/18.825848

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Analytical formulas for the entropy and the mutual information of multivariate continuous probability distributions are presented.

引用

页码：709 / 712

页数：4

共 12 条

[1] ABRAMOWITZ M, 1984, HDB MATH FUNCTIONS, pR5
[2] ENTROPY EXPRESSIONS AND THEIR ESTIMATORS FOR MULTIVARIATE DISTRIBUTIONS
AHMED, NA
GOKHALE, DV
[J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 1989, 35 (03) : 688 - 692
[3] Arnold B.C., 1983, Pareto Distributions
[4] Beirlant J, 1997, INT J MATH STAT SCI, V6, P17
[5] Brown L. D., 1986, LECT NOTES, V9
[6] Cover T. M., 2005, ELEM INF THEORY, DOI 10.1002/047174882X
[7] Estimation of the information by an adaptive partitioning of the observation space
Darbellay, GA
Vajda, I
[J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 1999, 45 (04) : 1315 - 1321
[8] Darbellay GA, 1998, APPL NUM HARM ANAL, P249
[9] DARBELLAY GA, 1998, ENTROPY EXPRESSIONS
[10] IHARA S, 1993, INFORMATION THEORY C