The asymptotic and exact Fisher information matrices of a vector ARMA process

Authors
Publication date 2008
Journal Statistics & Probability Letters
Volume | Issue number 78 | 12
Pages (from-to) 1430-1433
Number of pages 4
Organisations
  • Faculty of Economics and Business (FEB) - Amsterdam School of Economics Research Institute (ASE-RI)
Abstract The exact Fisher information matrix of a Gaussian vector autoregressive-moving average (VARMA) process has been considered for a time series of length N in relation to the exact maximum likelihood estimation method. In this paper it is shown that the Gaussian exact Fisher information matrix converges to the asymptotic Fisher information matrix when N goes to infinity.

Document type Article
Published at https://doi.org/10.1016/j.spl.2007.12.013
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