• DocumentCode
    2998490
  • Title

    Use of statistical models for time series analysis

  • Author

    Akaike, Hirotugu

  • Author_Institution
    Institute of Statistical Mathematics, Minato-ku, Tokyo, Japan
  • Volume
    11
  • fYear
    1986
  • fDate
    31503
  • Firstpage
    3147
  • Lastpage
    3155
  • Abstract
    The necessity of using statistical models for the development of efficient statistical signal processing procedures is explained with simple examples of the time series analysis. Recent extensions of the use of the concept of the likelihood of a statistical model are reviewd from the point of view of the entropy maximization principle, Particular emphasis is placed on the proper use of Bayesian models.
  • Keywords
    Bayesian methods; Density functional theory; Entropy; Mathematics; Principal component analysis; Signal analysis; Signal processing; Statistics; Time series analysis; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1986.1168599
  • Filename
    1168599