On computing the expected Fisher information matrix for state-space model parameters
Joseph E. Cavanaugh and
Robert H. Shumway
Statistics & Probability Letters, 1996, vol. 26, issue 4, 347-355
Abstract:
A general, recursive algorithm is presented for computing the expected Fisher information matrix for state-space model parameters. Simulation results are featured where known Fisher information matrices corresponding to simple state-space models are estimated using both observed and expected information matrices. The accuracy of the two approaches is compared.
Keywords: EM; algorithm; Kalman; filter; Recursive; algorithm; Time; series (search for similar items in EconPapers)
Date: 1996
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Citations: View citations in EconPapers (8)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:26:y:1996:i:4:p:347-355
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