On the equivalence between Stein identity and de Bruijn identity

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

Abstract

This paper illustrates the equivalence between two fundamental results: Stein identity, originally proposed in the statistical estimation realm, and de Bruijn identity, considered for the first time in the information theory field. Two distinctive extensions of de Bruijn identity are presented as well. For arbitrary but fixed input and noise distributions, the first-order derivative of differential entropy is expressed by means of a function of the posterior mean, while the second-order derivative of differential entropy is manifested in terms of a function of Fisher information. Several applications exemplify the utility of the proposed results.

Original languageEnglish
Title of host publication2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012
Pages145-149
Number of pages5
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 IEEE International Symposium on Information Theory, ISIT 2012 - Cambridge, MA, United States
Duration: 1 Jul 20126 Jul 2012

Other

Other2012 IEEE International Symposium on Information Theory, ISIT 2012
CountryUnited States
CityCambridge, MA
Period1/7/126/7/12

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ASJC Scopus subject areas

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

Cite this

Park, S., Serpedin, E., & Qaraqe, K. (2012). On the equivalence between Stein identity and de Bruijn identity. In 2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012 (pp. 145-149). [6283505] https://doi.org/10.1109/ISIT.2012.6283505