DocumentCode :
1793463
Title :
Maximizing Rényi entropy rate
Author :
Bunte, Christoph ; Lapidoth, Amos
Author_Institution :
ETH Zurich, Zurich, Switzerland
fYear :
2014
fDate :
3-5 Dec. 2014
Firstpage :
1
Lastpage :
4
Abstract :
Of all univariate distributions on the nonnegative reals of a given mean, the distribution that maximizes the Rényi entropy is Lomax. But the memoryless Lomax stochastic process does not maximize the Rényi entropy rate: For Rényi orders smaller than one the supremum of the Rényi entropy rates is infinite, and for orders larger than one it is the differential Shannon entropy of the exponential distribution, which is the distribution that maximizes the differential Shannon entropy subject to these constraints. This is shown to be a special case of a much more general principle.
Keywords :
entropy; exponential distribution; optimisation; stochastic processes; Rényi entropy rate maximization; differential Shannon entropy; exponential distribution; memoryless Lomax stochastic process; univariate distributions; Electronic mail; Entropy; Joints; Probability density function; Random variables; Stochastic processes; Tin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical & Electronics Engineers in Israel (IEEEI), 2014 IEEE 28th Convention of
Conference_Location :
Eilat
Print_ISBN :
978-1-4799-5987-7
Type :
conf
DOI :
10.1109/EEEI.2014.7005859
Filename :
7005859
Link To Document :
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