About distances of discrete distributions satisfying the data processing theorem of information theory

Thumbnail Image

Download

PardoCarmen17.pdf (218.44 KB)

Official URL

http://ieeexplore.ieee.org/Xplore/defdeny.jsp?url=http%3A%2F%2Fieeexplore.ieee.org%2Fstamp%2Fstamp.jsp%3Ftp%3D%26arnumber%3D605597%26userType%3Dinst&denyReason=-133&arnumber=605597&productsMatched=null&userType=inst

Full text at PDC

Publication date

1997

Authors

Advisors (or tutors)

Editors

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers
Citations
Google Scholar
Exportar
DC QDC MarcXML RDF MODS METS ORE-ATOM

URI

https://hdl.handle.net/20.500.14352/57842

Citation

Abstract

Distances of discrete probability distributions are considered. Necessary and sufficient conditions for validity of the data processing theorem of information theory are established. These conditions are applied to the Burbea–Rao divergences and Bregman distances.

Research Projects

Organizational Units

Journal Issue

Description

This research was supported by DGICYT under Grant PB 93-0068 and GA CR under Grant 102/94/0320.

UCM subjects

Teoría de la información

Unesco subjects

5910.01 Información

Keywords

Collections

Artículos