Computer Science – Information Theory
Scientific paper
2011-05-17
Journal of Physics A: Mathematical and Theoretical, Volume 45 Number 3, 2012
Computer Science
Information Theory
7 pages
Scientific paper
10.1088/1751-8113/45/3/032003
Many common probability distributions in statistics like the Gaussian, multinomial, Beta or Gamma distributions can be studied under the unified framework of exponential families. In this paper, we prove that both R\'enyi and Tsallis divergences of distributions belonging to the same exponential family admit a generic closed form expression. Furthermore, we show that R\'enyi and Tsallis entropies can also be calculated in closed-form for sub-families including the Gaussian or exponential distributions, among others.
Nielsen Frank
Nock Richard
No associations
LandOfFree
On Rényi and Tsallis entropies and divergences for exponential families does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with On Rényi and Tsallis entropies and divergences for exponential families, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and On Rényi and Tsallis entropies and divergences for exponential families will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-727611