Informational Divergence Approximations to Product Distributions
classification
💻 cs.IT
math.IT
keywords
distributiondivergenceinformationinformationalproductresultaccuratelyapproximate
read the original abstract
The minimum rate needed to accurately approximate a product distribution based on an unnormalized informational divergence is shown to be a mutual information. This result subsumes results of Wyner on common information and Han-Verd\'{u} on resolvability. The result also extends to cases where the source distribution is unknown but the entropy is known.
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