• DocumentCode
    704624
  • Title

    Specification of mixed bilinear time series models

  • Author

    Kumar, Kuldeep ; Ping Zhang

  • Author_Institution
    Dept. of Econ. & Stat., Bond Univ., Gold Coast, QLD, Australia
  • fYear
    2015
  • fDate
    19-20 Feb. 2015
  • Firstpage
    670
  • Lastpage
    673
  • Abstract
    Bilinear models are widely used in signal processing, control theory and in many other information sciences. Although, it is easy to specify simple bilinear time series models using Kumar´s third order moment approach, little work has been done on the specification of mixed bilinear time series models. This paper considers a new class of time series combining Autoregressive Moving Average (ARMA) and bilinear models. Further, we propose a method for specification of such mixed bilinear time series models based on Pade´s approximation and third order moments.
  • Keywords
    autoregressive moving average processes; bilinear systems; method of moments; signal processing; time series; ARMA; Kumar´s third order moment approach; Pade´s approximation; autoregressive moving average processes; control theory; information sciences; mixed bilinear time series model specification; signal processing; Autoregressive processes; Biological system modeling; Correlation; Predictive models; Signal processing; Signal processing algorithms; Time series analysis; ARIMA Models; Bilinear Models; Pade Approximation; Third order moments;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Integrated Networks (SPIN), 2015 2nd International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-5990-7
  • Type

    conf

  • DOI
    10.1109/SPIN.2015.7095269
  • Filename
    7095269