Next Article in Journal
Controlled Remote State Preparation via General Pure Three-Qubit State
Previous Article in Journal
Improved Genetic Algorithm Optimization for Forward Vehicle Detection Problems
Article Menu

Export Article

Open AccessArticle
Information 2015, 6(3), 361-374; doi:10.3390/info6030361

A Class of New Metrics Based on Triangular Discrimination

1
Department of Risk Management and Insurance, Nankai University, No. 94 Weijin Road, 300071 Tianjin, China
2
School of Statistics and Mathematics, Zhongnan University of Economics and Law, No. 182 Nanhu Avenue, 430073 Wuhan, China
*
Author to whom correspondence should be addressed.
Academic Editor: Willy Susilo
Received: 2 June 2015 / Revised: 8 July 2015 / Accepted: 14 July 2015 / Published: 17 July 2015
(This article belongs to the Section Information Theory and Methodology)
View Full-Text   |   Download PDF [220 KB, uploaded 17 July 2015]

Abstract

In the field of information theory, statistics and other application areas, the information-theoretic divergences are used widely. To meet the requirement of metric properties, we introduce a class of new metrics based on triangular discrimination which are bounded. Moreover, we obtain some sharp inequalities for the triangular discrimination and other information-theoretic divergences. Their asymptotic approximation properties are also involved. View Full-Text
Keywords: triangular discrimination; metric; triangle inequality; information-theoretic divergence; information inequalities triangular discrimination; metric; triangle inequality; information-theoretic divergence; information inequalities
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Lu, G.; Li, B. A Class of New Metrics Based on Triangular Discrimination. Information 2015, 6, 361-374.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Information EISSN 2078-2489 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top