Information theoretic methods in probability and statistics

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Some applications of information theoretic ideas within mathematics are discussed, taken from the field of probability and mathematical statistics. Measure concentration, information for discrimination (I-divergence), universal hypothesis testing, contingency tables and information geometry are mentioned.

Original languageEnglish
Title of host publicationProceedings - 1997 IEEE International Symposium on Information Theory, ISIT 1997
Number of pages1
DOIs
Publication statusPublished - Dec 1 1997
Event1997 IEEE International Symposium on Information Theory, ISIT 1997 - Ulm, Germany
Duration: Jun 29 1997Jul 4 1997

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8095

Conference

Conference1997 IEEE International Symposium on Information Theory, ISIT 1997
CountryGermany
CityUlm
Period6/29/977/4/97

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Information Systems
  • Modelling and Simulation
  • Applied Mathematics

Cite this

Csiszár, I. (1997). Information theoretic methods in probability and statistics. In Proceedings - 1997 IEEE International Symposium on Information Theory, ISIT 1997 [612917] (IEEE International Symposium on Information Theory - Proceedings). https://doi.org/10.1109/ISIT.1997.612917