Thinning, Entropy, and the Law of Thin Numbers

DOI10.1109/TIT.2010.2053893zbMath1366.94186OpenAlexW2170335255WikidataQ60522090 ScholiaQ60522090MaRDI QIDQ5281286

Oliver Johnson, Ioannis Kontoyiannis, Peter Harremoës

Publication date: 27 July 2017

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tit.2010.2053893

Mathematics Subject Classification ID

Central limit and other weak theorems (60F05) Convergence of probability measures (60B10) Measures of information, entropy (94A17)

Related Items (11)

Discrete dispersion models and their Tweedie asymptotics ⋮ Log-concavity, ultra-log-concavity, and a maximum entropy property of discrete compound Poisson measures ⋮ Gaussian optimizers for entropic inequalities in quantum information ⋮ Information in Probability: Another Information-Theoretic Proof of a Finite de Finetti Theorem ⋮ Bernoulli sums and Rényi entropy inequalities ⋮ Statistical molecule counting in super-resolution fluorescence microscopy: towards quantitative nanoscopy ⋮ New property of a generalized Hölder's inequality and its applications ⋮ The one-mode quantum-limited Gaussian attenuator and amplifier have Gaussian maximizers ⋮ Meeting technologies and optimal trading mechanisms in competitive search markets ⋮ Nonuniform bounds in the Poisson approximation with applications to informational distances. II ⋮ Entropy Inequalities for Sums in Prime Cyclic Groups

This page was built for publication: Thinning, Entropy, and the Law of Thin Numbers