The ARMA model in state space form
This article explores alternative state space representations for ARMA models. We advocate representations that have minimal state order and appealing Kalman filter steady state properties. We derive expressions for smoother output and describe concrete connections to classical infinite sample representations.
Year of publication: |
2004
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Authors: | de Jong, Piet ; Penzer, Jeremy |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 70.2004, 1, p. 119-125
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Publisher: |
Elsevier |
Keywords: | Filter steady state Kalman filter smoother State space model Time series |
Saved in:
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