Some stochastic $${\varvec{HH}}$$ HH -divergences in information theory

التفاصيل البيبلوغرافية
العنوان: Some stochastic $${\varvec{HH}}$$ HH -divergences in information theory
المؤلفون: Milad Yadollahzadeh, Hamzeh Agahi
المصدر: Aequationes mathematicae. 92:1051-1059
بيانات النشر: Springer Science and Business Media LLC, 2018.
سنة النشر: 2018
مصطلحات موضوعية: Class (set theory), Pure mathematics, Kullback–Leibler divergence, Stochastic process, Applied Mathematics, General Mathematics, 010102 general mathematics, Regular polygon, 010103 numerical & computational mathematics, Information theory, 01 natural sciences, Discrete Mathematics and Combinatorics, 0101 mathematics, Mathematics
الوصف: In this paper, we introduce the concept of stochastic HH-divergences based on convex stochastic processes. As an application, we propose some inequalities related to stochastic HH-divergences for convex stochastic processes. Our result extends HH-divergence in the class of f-divergence to the class of convex stochastic processes.
تدمد: 1420-8903
0001-9054
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::b2adc042bec8abc8bfd8648bc8942469
https://doi.org/10.1007/s00010-018-0567-2
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........b2adc042bec8abc8bfd8648bc8942469
قاعدة البيانات: OpenAIRE