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On Information Divergence Measures and a Unified Typicality
2010
IEEE Transactions on Information Theory
Strong typicality, which is more powerful for theorem proving than weak typicality, can be applied to finite alphabets only, while weak typicality can be applied to countable alphabets. In this paper, the relation between typicality and information divergence measures is discussed. The new definition of information divergence measure in this paper leads to the definition of a unified typicality for finite or countably infinite alphabets which is stronger than both weak typicality and strong
doi:10.1109/tit.2010.2080431
fatcat:axlm6c7yc5evpcu4w6w7pmjvni