DocumentCode
1299168
Title
Comments on “entropies of degree β and lower bounds for the average error rate”
Author
Taneja, I.J.
Author_Institution
Dept. de Matematica, Univ. Federal de Santa Catarina, Florianopolis, Sao Carlos, Brazil
Issue
2
fYear
1983
Firstpage
241
Lastpage
242
Abstract
Consider a two-dimensional random variable (X, θ) with θ ∊ {θ1 …, θm ) and X ∊ Rd, and suppose that the distribution of (X, θ) is given by a) P(θ = θi ) = pi , 1 ≤ i ≤ m, and b) P{X < x/θ = θi } has a probability density p(x/θi )1 ≤ i ≤ m. We call θ the state of the observation X. Let R∗ denote the Bayes´ rate, viz., R∗ = E{r∗(x)}, and r∗(x) = 1 − maxi p(θi /x). Then for any β > 1, a lower bound on R∗ due to Devijver1 is the inequality
Keywords
information theory; probability; average error rate; entropy; information theory; lower bounds; Automata; Entropy; Frequency modulation; Game theory; Games; Image edge detection; Stochastic processes;
fLanguage
English
Journal_Title
Systems, Man and Cybernetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9472
Type
jour
DOI
10.1109/TSMC.1983.6313121
Filename
6313121
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