Systematic topology analysis and generation using degree correlations
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Bounds on the sum capacity of synchronous binary CDMA channels
IEEE Transactions on Information Theory
On the entropy of compound distributions on nonnegative integers
IEEE Transactions on Information Theory
A criterion for the compound Poisson distribution to be maximum entropy
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
Monotonic convergence in an information-theoretic law of small numbers
IEEE Transactions on Information Theory
Sharp bounds on the entropy of the poisson law and related quantities
IEEE Transactions on Information Theory
Thinning, entropy, and the law of thin numbers
IEEE Transactions on Information Theory
Discrete Applied Mathematics
| Hi-index | 755.14 |
The binomial and the Poisson distributions are shown to be maximum entropy distributions of suitably defined sets. Poisson's law is considered as a case of entropy maximization, and also convergence in information divergence is established