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University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Some entropy properties of discrete random variables

## Some entropy properties of discrete random variablesAdd to your list(s) Download to your calendar using vCal - Oliver Johnson (University of Bristol)
- Thursday 26 July 2018, 09:45-10:30
- Seminar Room 1, Newton Institute.
If you have a question about this talk, please contact info@newton.ac.uk. MQIW05 - Beyond I.I.D. in information theory It is well-known that Gaussian random variables have many attractive properties: they are maximum entropy, they are stable under addition and scaling, they give equality in the Entropy Power Inequality (and hence give sharp log-Sobolev inequalities) and have good entropy concavity properties. I will discuss the extent to which results of this kind can be formulated for discrete random variables, and how they relate to ideas of discrete log-concavity. This talk is part of the Isaac Newton Institute Seminar Series series. ## This talk is included in these lists:- All CMS events
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