Some stochastic \textit{H H}-divergences in information theory
From MaRDI portal
Publication:1621487
DOI10.1007/S00010-018-0567-2zbMath1404.60047OpenAlexW2822403579MaRDI QIDQ1621487
Hamzeh Agahi, Milad Yadollahzadeh
Publication date: 9 November 2018
Published in: Aequationes Mathematicae (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00010-018-0567-2
inequalitiesinformation theoryKullback-Leibler divergenceconvex stochastic processesfractional stochastic \textit{H H}-divergence
Inequalities; stochastic orderings (60E15) General theory of stochastic processes (60G07) Measures of information, entropy (94A17)
Cites Work
- Unnamed Item
- Refinements of mean-square stochastic integral inequalities on convex stochastic processes
- On fractional stochastic inequalities related to Hermite-Hadamard and Jensen types for convex stochastic processes
- Comonotonic stochastic processes and generalized mean-square stochastic integral with applications
- Hermite-Hadamard inequality for convex stochastic processes
- On convex stochastic processes
- A generalization of HH \(f\)-divergence
- The Fractional Calculus for Some Stochastic Processes
- Divergence measures based on the Shannon entropy
- On Information and Sufficiency
- Statistical Inference
This page was built for publication: Some stochastic \textit{H H}-divergences in information theory