DocumentCode
746962
Title
Averaging entropy
Author
Campbell, L. Lorne
Author_Institution
Dept. of Math. & Stat., Queen´´s Univ., Belfast, UK
Volume
41
Issue
1
fYear
1995
fDate
1/1/1995 12:00:00 AM
Firstpage
338
Lastpage
339
Abstract
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
Keywords
Bayes methods; differential geometry; entropy; probability; statistical analysis; Bayesian statistics; average entropy; averaging entropy; differential-geometry; information theory; noninformative priors; probability n-tuples; statistics; Bayesian methods; Councils; Entropy; Information geometry; Information theory; Length measurement; Mathematics; Probability distribution; Statistical distributions; Statistics;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.370086
Filename
370086
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