- An explicit expression for the Fisher information matrix of a multiple time series process
- Linear Algebra and its Applications
- Volume | Issue number
- 417 | 1
- Pages (from-to)
- Document type
- Faculty of Economics and Business (FEB)
Faculty of Science (FNWI)
- Amsterdam School of Economics Research Institute (ASE-RI)
Korteweg-de Vries Institute for Mathematics (KdVI)
The principal result in this paper is concerned with the derivative of a vector with respect to a block vector or matrix. This is applied to the asymptotic Fisher information matrix (FIM) of a stationary vector autoregressive and moving average time series process (VARMA). Representations which can be used for computing the components of the FIM are then obtained. In a related paper [A. Klein, A generalization of Whittle's formula for the information matrix of vector mixed time series, Linear Algebra Appl. 321 (2000) 197-208], the derivative is taken with respect to a vector. This is obtained by vectorizing the appropriate matrix products whereas in this paper the corresponding matrix products are left unchanged.
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