For the bilinear time series Xt=βX(t-k)e(t-l)+e(v1)k≥l, formulas for the first k-1 autocorrelations of X2t are obtained. These results fill in a gap in Granger and Andersen (1978). Simulation experiments are used to study the applicability of theoretical results and to investigate some more general situations. It is found that if ß is not too small, k and l may be identified using the autocorrelations of X2r. Application to more general situations is also briefly discussed
The behaviour of the sample autocorrelation coefficients is important for the identification of the ...
Abstract. This paper analyses the asymptotic behaviour of the autocorrelation structure exhibited by...
In this article we first revisit some earlier work on fractionally differenced white noise and corre...
In this practicum, we study the properties of a special case of the general bilinear model. The gene...
The subject of the thesis is the autocorrelation structure of time series. AR(1) process is studied ...
The paper presents new approach to estimation of the coefficients of an elementary bilinear time ser...
Abstract: The new approach to identification of linear-bilinear time-series models has been recently...
AbstractWe consider a simple bilinear process Xt=aXt−1+bXt−1Zt−1+Zt, where (Zt) is a sequence of iid...
Graduation date: 1988In engineering, biology, ecology, medicine, economics and social\ud science, so...
When studying a real-life time series, it is frequently reasonable to assume, possibly after a suita...
The classical autocorrelation function may not be an effective and informative means in revealing th...
We consider a simple bilinear process X-t = aX(t-1) + bX(t-1)Z(t-1) +Z(t), where (Z(t)) is a sequenc...
The standard autocorrelation measures similarities between a binary sequence and its any shifted for...
Abstract: In this paper, we study the similarities and dissimilarities between a purely diagonal bi...
Long-term temporal correlations observed in event sequences of natural and social phenomena have bee...
The behaviour of the sample autocorrelation coefficients is important for the identification of the ...
Abstract. This paper analyses the asymptotic behaviour of the autocorrelation structure exhibited by...
In this article we first revisit some earlier work on fractionally differenced white noise and corre...
In this practicum, we study the properties of a special case of the general bilinear model. The gene...
The subject of the thesis is the autocorrelation structure of time series. AR(1) process is studied ...
The paper presents new approach to estimation of the coefficients of an elementary bilinear time ser...
Abstract: The new approach to identification of linear-bilinear time-series models has been recently...
AbstractWe consider a simple bilinear process Xt=aXt−1+bXt−1Zt−1+Zt, where (Zt) is a sequence of iid...
Graduation date: 1988In engineering, biology, ecology, medicine, economics and social\ud science, so...
When studying a real-life time series, it is frequently reasonable to assume, possibly after a suita...
The classical autocorrelation function may not be an effective and informative means in revealing th...
We consider a simple bilinear process X-t = aX(t-1) + bX(t-1)Z(t-1) +Z(t), where (Z(t)) is a sequenc...
The standard autocorrelation measures similarities between a binary sequence and its any shifted for...
Abstract: In this paper, we study the similarities and dissimilarities between a purely diagonal bi...
Long-term temporal correlations observed in event sequences of natural and social phenomena have bee...
The behaviour of the sample autocorrelation coefficients is important for the identification of the ...
Abstract. This paper analyses the asymptotic behaviour of the autocorrelation structure exhibited by...
In this article we first revisit some earlier work on fractionally differenced white noise and corre...