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
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