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Asymptotic equipartition properties for simple hierarchical and networked structures

Kwabena Doku-Amponsah — 2012

ESAIM: Probability and Statistics

We prove for simple hierarchical structures (modelled as ) and networked structures (modelled as ). For example, for large , a networked data structure consisting of units connected by an average number of links of order   log  can be coded by about  ×  bits, where is an explicitly defined entropy. The main technique in our proofs are large deviation principles for suitably defined empirical measures.

Asymptotic equipartition properties for simple hierarchical and networked structures

Kwabena Doku-Amponsah — 2012

ESAIM: Probability and Statistics

We prove for simple hierarchical structures (modelled as ) and networked structures (modelled as ). For example, for large , a networked data structure consisting of units connected by an average number of links of order   log  can be coded by about  ×  bits, where is an explicitly defined entropy. The main technique in our proofs are large deviation principles for suitably defined empirical measures.

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