AVERAGING ENTROPY

被引：19
|
作者：
CAMPBELL, LL
机构：
[1] Department of Mathematics and Statistics, Queen's University, Kingston
来源：
IEEE TRANSACTIONS ON INFORMATION THEORY | 1995年 / 41卷 / 01期
基金：
加拿大自然科学与工程研究理事会;
关键词：
AVERAGE ENTROPY; NONINFORMATIVE PRIORS; DIFFERENTIAL GEOMETRY;
D O I：
10.1109/18.370086
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
It is pointed out that a uniform distribution on probability n-tuples is not necessarily the best distribution to use in calculating an average entropy. The noninformative prior of Bayesian statistics and certain distributions which arise in differential-geometry approaches to statistics are other candidates. The mean and variance of the entropy are calculated when probability n-tuples are distributed according to these distributions.
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页码：338 / 339
页数：2
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