arXiv · 1602.03618
Characterising Probability Distributions via Entropies
Abstract
Characterising the capacity region for a network can be extremely difficult, especially when the sources are dependent. Most existing computable outer bounds are relaxations of the Linear Programming bound. One main challenge to extend linear program bounds to the case of correlated sources is the difficulty (or impossibility) of characterising arbitrary dependencies via entropy functions. This paper tackles the problem by addressing how to use entropy functions to characterise correlation among sources.
Explore related subjects
Keep this discovery
Satyajit Thakor, Terence Chan, Alex Grant. 2016-02-11. Characterising Probability Distributions via Entropies. https://arxiv.org/abs/1602.03618
Cite the original work for its findings. Save a collection to share your selection of sources.