Abstract. Here we obtain difference equations for the higher order moments and cumulants of a time series {Xt} satisfying an INAR(p) model. These equations are similar to the difference equations for the higher order moments and cumulants of the bilinear time series model. We obtain the spectral and bispectral density functions for the INAR(p) process in state–space form, thus characterizing it in the frequency domain. We consider a frequency domain method – the Whittle criterion – to estimate the parameters of the INAR(p) model and illustrate it with the series of the number of epilepsy seizures of a patient.
Keywords
#integer-valued autoregressive models
#higher-order moments
#cumulants
#recurrence relations
#bilinear time series models
#power spectrum
#state-space model
#Whittle estimation
#Mathematics
#Cumulant
#Autoregressive model
#Bilinear interpolation
#Applied mathematics
#Series (stratigraphy)
Bibliographic Details
Publication TypeJournal article
Publication Year2005
Journal / Conference / WorkJournal of Time Series Analysis
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