Science-advisor
REGISTER info/FAQ
Login
username
password
     
forgot password?
register here
 
Research articles
  search articles
  reviews guidelines
  reviews
  articles index
My Pages
my alerts
  my messages
  my reviews
  my favorites
 
 
Stat
Members: 3667
Articles: 2'599'751
Articles rated: 2609

18 February 2025
 
  » arxiv » 1605.0301

 Article overview



Backward transfer entropy: Informational measure of non-hidden Markov property and its interpretation in thermodynamics, gambling and causality
Sosuke Ito ;
Date 1 May 2016
AbstractThe transfer entropy is a well-established measure of the information flow, which has been shown useful not only in the time series analysis but also in nonequilibrium physics. Here, we introduce the transfer entropy of the backward path, called the backward transfer entropy, which quantifies non-hidden Markov property. Thermodynamically, the backward transfer entropy can be interpreted as a thermodynamic loss, where the transfer entropy implies a possible thermodynamic benefit. In a rather different setting, the backward transfer entropy also quantifies a loss of the gambler’s wealth of the gambling with side information, where the transfer entropy implies a possible benefit of the gambler’s wealth. We show that the backward transfer entropy represents the anti-causality in the context of the causality test.
Source arXiv, 1605.0301
Services Forum | Review | PDF | Favorites   
 
Visitor rating: did you like this article? no 1   2   3   4   5   yes

No review found.
 Did you like this article?

This article or document is ...
important:
of broad interest:
readable:
new:
correct:
Global appreciation:

  Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.






ScienXe.org
» my Online CV
» Free

home  |  contact  |  terms of use  |  sitemap
Copyright © 2005-2025 - Scimetrica