Filtering and smoothing of state vector for diffuse state-space models
AbstractThis 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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Volume (Year): 24 (2003)
Issue (Month): 1 (01)
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- Siem Jan Koopman & Kai Ming Lee, 0000.
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Tinbergen Institute Discussion Papers
08-028/4, Tinbergen Institute.
- Siem Jan Koopman & Kai Ming Lee, 2009. "Seasonality with trend and cycle interactions in unobserved components models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(4), pages 427-448.
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- Maarten Dossche & Gerdie Everaert, 2005.
"Measuring inflation persistence: a structural time series approach,"
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- Dossche, Maarten & Everaert, Gerdie, 2005. "Measuring inflation persistence: a structural time series approach," Working Paper Series 0495, European Central Bank.
- Maarten Dossche & Gerdie Everaert, 2005. "Measuring Inflation Persistence: A Structural Time Series Approach," Computing in Economics and Finance 2005 459, Society for Computational Economics.
- M. Dossche & G. Everaert, 2005. "Measuring inflation persistence: a structural time series approach," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/340, Ghent University, Faculty of Economics and Business Administration.
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- Frédéric Karamé & Yannick Fondeur, 2012.
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- Michal Franta & Branislav Saxa & Katerina Smidkova, 2007. "Inflation Persistence in New EU Member States: Is It Different Than in the Euro Area Members?," Working Papers 2007/10, Czech National Bank, Research Department.
- 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.
- Jungbacker, B. & Koopman, S.J. & van der Wel, M., 2011. "Maximum likelihood estimation for dynamic factor models with missing data," Journal of Economic Dynamics and Control, Elsevier, vol. 35(8), pages 1358-1368, August.
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