Abstract
In this paper the notion of stochastic conditional entropy is introduced, and the asymptotic relation between this notion and the relative entropy density is studied. A strong limit theorem which holds for arbitrary discrete information sources is obtained. In the proof an analytic technique to study the strong limit properties of discrete information sources is proposed.
Citation
Liu Wen. "A LIMIT PROPERTY OF ARBITRARY DISCRETE INFORMATION SOURCES." Taiwanese J. Math. 3 (4) 539 - 546, 1999. https://doi.org/10.11650/twjm/1500407166
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