The Bezoutian and Fisher's information matrix of an ARMA process
Statistics Theory
2014-07-03 v1 Statistics Theory
Abstract
In this paper we derive some properties of the Bezout matrix and relate the Fisher information matrix for a stationary ARMA process to the Bezoutian. Some properties are explained via realizations in state space form of the derivatives of the white noise process with respect to the parameters. A factorization of the Fisher information matrix as a product in factors which involve the Bezout matrix of the associated AR and MA polynomials is derived. From this factorization we can characterize singularity of the Fisher information matrix.
Keywords
Cite
@article{arxiv.math/0505224,
title = {The Bezoutian and Fisher's information matrix of an ARMA process},
author = {Andre Klein and Peter Spreij},
journal= {arXiv preprint arXiv:math/0505224},
year = {2014}
}