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Filtering and smoothing of state vector for diffuse state-space models

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Author Info
S. J. Koopman
J. Durbin

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Abstract

This paper presents exact recursions for calculating the mean and mean square error matrix of the state vector given the observations for the multi-variate linear Gaussian state-space model in the case where the initial state vector is (partially) diffuse. Copyright 2003 Blackwell Publishing Ltd.

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Publisher Info
Article provided by Blackwell Publishing in its journal Journal of Time Series Analysis.

Volume (Year): 24 (2003)
Issue (Month): 1 (01)
Pages: 85-98
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Handle: RePEc:bla:jtsera:v:24:y:2003:i:1:p:85-98

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  1. Maarten Dossche & Gerdie Everaert, 2005. "Measuring Inflation Persistence: A Structural Time Series Approach," Computing in Economics and Finance 2005 459, Society for Computational Economics. [Downloadable!]
    Other versions:
  2. Siem Jan Koopman & Kai Ming Lee, 2005. "Measuring Asymmetric Stochastic Cycle Components in U.S. Macroeconomic Time Series," Tinbergen Institute Discussion Papers 05-081/4, Tinbergen Institute. [Downloadable!]
  3. T. Berger & G. Everaert, 2006. "Re-examining the Structural and the Persistence Approach to Unemployment," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/383, Ghent University, Faculty of Economics and Business Administration. [Downloadable!]
  4. Borus Jungbacker & Siem Jan Koopman, 2008. "Likelihood-based Analysis for Dynamic Factor Models," Tinbergen Institute Discussion Papers 08-007/4, Tinbergen Institute. [Downloadable!]
  5. Siem Jan Koopman & Kai Ming Lee, 2008. "Seasonality with Trend and Cycle Interactions in Unobserved Components Models," Tinbergen Institute Discussion Papers 08-028/4, Tinbergen Institute. [Downloadable!]
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This page was last updated on 2008-7-15.


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