Some results on Vandermonde matrices with an application to time series analysis.

Authors
Publication date 2003
Journal SIAM Journal on Matrix Analysis and Applications
Volume | Issue number 25 | 1
Pages (from-to) 213-223
Organisations
  • Faculty of Science (FNWI) - Korteweg-de Vries Institute for Mathematics (KdVI)
  • Faculty of Economics and Business (FEB) - Amsterdam School of Economics Research Institute (ASE-RI)
Abstract In this paper we study Stein equations in which the coefficient matrices are in companion form. Solutions to such equations are relatively easy to compute as soon as one knows how to invert a Vandermonde matrix (in the generic case where all eigenvalues have multiplicity one) or a confluent Vandermonde matrix (in the general case). As an application we present a way to compute the Fisher information matrix of an autoregressive moving average (ARMA) process. The computation is based on the fact that this matrix can be decomposed into blocks where each block satisfies a certain Stein equation.
Document type Article
Published at https://doi.org/10.1137/S0895479802402892
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