Decomposition of an autoregressive process into first order processes

Autoregressive Gaussian Random Vectors of First Order

A bivariate first-order signed integer-valued autoregressive process

autoregressive gaussian random vectors of first order

The Integration Order of Vector Autoregressive Processes

We show that the order of integration of a vector autoregressive process is equal to the difference between the multiplicity of the unit root in the characteristic equation and the multiplicity of the unit root in the adjoint matrix polynomial. The equivalence with the standard I(1) and I(2) conditions (Johansen, 1996) is proved and polynomial cointegration discussed in the general setup.

Two-stage Procedure in P-Order Autoregressive Process

In this paper, the two-stage procedure is considered for autoregressive parameters estimation in the p-order autoregressive model ( AR(p)). The point estimation and fixed-size confidence ellipsoids construction are investigated which are based on least-squares estimators. Performance criteria are shown including asymptotically risk efficient, asymptotically efficient, and asymptotically consist...