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An Integral Representation of the Logarithmic Function with Applications in Information Theory
We explore a well-known integral representation of the logarithmic function, and demonstrate its usefulness in obtaining compact, easily computable exact formulas for quantities that involve expectations and higher moments of the logarithm of a positive random variable (or the logarithm of a sum of...
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| Pubblicato in: | Entropy (Basel) |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7516482/ https://ncbi.nlm.nih.gov/pubmed/33285826 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22010051 |
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