St Andrews Research Repository

St Andrews University Home
View Item 
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  • Login
JavaScript is disabled for your browser. Some features of this site may not work without it.

A new metric for probability distributions

Thumbnail
View/Open
Endres2003-IEEETransInfTheory49-NewMetric.pdf (243.8Kb)
Date
07/2003
Author
Endres, Dominik Maria
Schindelin, J E
Keywords
Capacitory discrimination
Chi(2) distance
Jensen-Shannon divergence
Metric
Triangle inequality
Discrimination
Information
Divergence
QA Mathematics
Metadata
Show full item record
Abstract
We introduce a metric for probability distributions, which is bounded, information-theoretically motivated, and has a natural Bayesian interpretation. The square root of the well-known chi(2) distance is an asymptotic approximation to it. Moreover, it is a close relative of the capacitory discrimination and Jensen-Shannon divergence.
Citation
Endres , D M & Schindelin , J E 2003 , ' A new metric for probability distributions ' , IEEE Transactions on Information Theory , vol. 49 , no. 7 , pp. 1858- 1860 . https://doi.org/10.1109/TIT.2003.813506
Publication
IEEE Transactions on Information Theory
Status
Peer reviewed
DOI
https://doi.org/10.1109/TIT.2003.813506
ISSN
0018-9448
Type
Journal article
Rights
(c) 2003 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Collections
  • University of St Andrews Research
URL
http://www.scopus.com/inward/record.url?scp=0038105161&partnerID=8YFLogxK
http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1207388
URI
http://hdl.handle.net/10023/1591

Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

Advanced Search

Browse

All of RepositoryCommunities & CollectionsBy Issue DateNamesTitlesSubjectsClassificationTypeFunderThis CollectionBy Issue DateNamesTitlesSubjectsClassificationTypeFunder

My Account

Login

Open Access

To find out how you can benefit from open access to research, see our library web pages and Open Access blog. For open access help contact: openaccess@st-andrews.ac.uk.

Accessibility

Read our Accessibility statement.

How to submit research papers

The full text of research papers can be submitted to the repository via Pure, the University's research information system. For help see our guide: How to deposit in Pure.

Electronic thesis deposit

Help with deposit.

Repository help

For repository help contact: Digital-Repository@st-andrews.ac.uk.

Give Feedback

Cookie policy

This site may use cookies. Please see Terms and Conditions.

Usage statistics

COUNTER-compliant statistics on downloads from the repository are available from the IRUS-UK Service. Contact us for information.

© University of St Andrews Library

University of St Andrews is a charity registered in Scotland, No SC013532.

  • Facebook
  • Twitter