Estimations of f- and Rényi Divergences by Using a Cyclic Refinement of the Jensen’s Inequality
Divergence (linguistics)
Jensen's inequality
Zipf's law
Mandelbrot set
DOI:
10.1007/s40840-017-0526-4
Publication Date:
2017-07-28T08:49:02Z
AUTHORS (3)
ABSTRACT
The Jensen’s inequality plays a crucial role to obtain inequalities for divergences between probability distributions. In this paper, we introduce a new functional, based on the f- divergence functional, and then, we obtain some estimates for the new functional, the f- divergence and the Rényi divergence by applying a cyclic refinement of the Jensen’s inequality. Some inequalities for Rényi and Shannon entropies are obtained too. Zipf–Mandelbrot law is used to illustrate the results.
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