Total variation distance and the distribution of relative information

Sergio Verdu

Research output: Contribution to conferencePaper

18 Scopus citations

Abstract

We give explicit expressions, upper and lower bounds on the total variation distance between P and Q in terms of the distribution of the random variables log dP/dQ (X) and log dP/dQ(Y), where X and Y are distributed according to P and Q respectively.

Original languageEnglish (US)
DOIs
StatePublished - Jan 1 2014
Event2014 IEEE Information Theory and Applications Workshop, ITA 2014 - San Diego, CA, United States
Duration: Feb 9 2014Feb 14 2014

Other

Other2014 IEEE Information Theory and Applications Workshop, ITA 2014
CountryUnited States
CitySan Diego, CA
Period2/9/142/14/14

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems

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    Verdu, S. (2014). Total variation distance and the distribution of relative information. Paper presented at 2014 IEEE Information Theory and Applications Workshop, ITA 2014, San Diego, CA, United States. https://doi.org/10.1109/ITA.2014.6804281