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 Electronic Journal of Probability > Vol. 4 (1999) > Paper 16 open journal systems 


Long-range Dependence trough Gamma-mixed Ornstein–Uhlenbeck Process

E. Iglói, L. Kossuth University
G. Terdik, L. Kossuth University


Abstract
The limit process of aggregational models---(i) sum of random coefficient AR(1) processes with independent Brownian motion (BM) inputs and (ii)  sum of AR(1) processes with random coefficients of Gamma distribution and with input of common BM's,---proves to be Gaussian and stationary and its transfer function  is the mixture of transfer functions of Ornstein--Uhlenbeck (OU) processes by Gamma distribution. It is called Gamma-mixed Ornstein--Uhlenbeck process  ($Gamma QTR{sf}{MOU}$QTR{sf}{)}. For independent  Poisson alternating $0$--$1$ reward processes with proper random intensity it is shown that the standardized sum of the processes converges to the standardized $Gamma QTR{sf}{MOU}$ process. The $Gamma QTR{sf}{MOU}$ process has various interesting properties and it is a new candidate for the successful modelling of several Gaussian stationary data with long-range dependence. Possible applications and problems are also considered.


Full text: PDF

Pages: 1-33

Published on: September 15, 1999


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Electronic Journal of Probability. ISSN: 1083-6489