Open Access
October, 1992 Strict Stationarity of Generalized Autoregressive Processes
Philippe Bougerol, Nico Picard
Ann. Probab. 20(4): 1714-1730 (October, 1992). DOI: 10.1214/aop/1176989526

Abstract

In this paper we consider the multivariate equation $X_{n+1} = A_{n+1}X_n + B_{n+1}$ with i.i.d. coefficients which have only a logarithmic moment. We give a necessary and sufficient condition for existence of a strictly stationary solution independent of the future. As an application we characterize the multivariate ARMA equations with general noise which have such a solution.

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Philippe Bougerol. Nico Picard. "Strict Stationarity of Generalized Autoregressive Processes." Ann. Probab. 20 (4) 1714 - 1730, October, 1992. https://doi.org/10.1214/aop/1176989526

Information

Published: October, 1992
First available in Project Euclid: 19 April 2007

zbMATH: 0763.60015
MathSciNet: MR1188039
Digital Object Identifier: 10.1214/aop/1176989526

Subjects:
Primary: 60G10
Secondary: 60J10 , 62M10 , 93E03

Keywords: ARMA process , autoregressive model , linear stochastic system , Lyapounov exponent , state space system , stochastic difference equation , strict stationarity

Rights: Copyright © 1992 Institute of Mathematical Statistics

Vol.20 • No. 4 • October, 1992
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