• DocumentCode
    2384305
  • Title

    Limits of information, Markov chains, and projection

  • Author

    Barron, Andrew R.

  • Author_Institution
    Dept. of Stat., Yale Univ., New Haven, CT, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    25
  • Abstract
    The chain rule of information shows that log densities form Cauchy sequences, convergent in L1, proving information limits, Markov chain convergence, and the existence of information projections
  • Keywords
    Markov processes; convergence; information theory; sequences; Cauchy sequences; Markov chain convergence; chain rule; information limits; information projections; log densities; Convergence; Cramer-Rao bounds; Data mining; Density functional theory; Density measurement; Extraterrestrial measurements; Q measurement; State-space methods; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2000. Proceedings. IEEE International Symposium on
  • Conference_Location
    Sorrento
  • Print_ISBN
    0-7803-5857-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2000.866315
  • Filename
    866315
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2384305