Majorization inequalities for strongly f-divergences with applications

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Názov: Majorization inequalities for strongly f-divergences with applications
Autori: Ivelić Bradanović, Slavica
Informácie o vydavateľovi: 2023.
Rok vydania: 2023
Predmety: strongly convex functions, Csizar f-divergences, majorization inequalities
Popis: Nonnegative measures of dissimilarity between pairs of probability measures are known as divergence measures. Numerous applications of these concept in different fields such as probability theory, statistics, information theory, signal processing etc. could be found in literature. One important class of divergence measures is defined by means of convex functions f , known as f-divergences or Csisz ́ar f-divergences. Recently, the concept of f-divergences for strongly convex functions with stronger properties is introduced. We derive new inequalities for strongly f-divergences and as outcome we obtain stronger estimates for some well known divergences as the Kullback-Leibler divergence, χ2-divergence, Hellinger divergence, Bhattacharya distance and Jeffreys distance.
Druh dokumentu: Conference object
Prístupové číslo: edsair.dris...01492..d700a55b070e58039723d2c248e9b2ea
Databáza: OpenAIRE
Popis
Abstrakt:Nonnegative measures of dissimilarity between pairs of probability measures are known as divergence measures. Numerous applications of these concept in different fields such as probability theory, statistics, information theory, signal processing etc. could be found in literature. One important class of divergence measures is defined by means of convex functions f , known as f-divergences or Csisz ́ar f-divergences. Recently, the concept of f-divergences for strongly convex functions with stronger properties is introduced. We derive new inequalities for strongly f-divergences and as outcome we obtain stronger estimates for some well known divergences as the Kullback-Leibler divergence, χ2-divergence, Hellinger divergence, Bhattacharya distance and Jeffreys distance.