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Fast efficient importance sampling by state space methods
Koopman, Siem Jan; Nguyen, Thuy Minh - 2012
Persistent link: https://www.econbiz.de/10009722707
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A forty year assessment of forecasting the boat race
Mesters, Geert; Koopman, Siem Jan - 2012
Persistent link: https://www.econbiz.de/10009722947
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Models with time-varying mean and variance : a robust analysis of US industrial production
Bos, Charles S.; Koopman, Siem Jan - 2010
Persistent link: https://www.econbiz.de/10003973299
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Likelihood-based analysis for dynamic factor models
Jungbacker, Borus; Koopman, Siem Jan - 2008
Persistent link: https://www.econbiz.de/10003645197
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An hourly periodic state space model for modelling French national electricity load
Dordonnat, V.; Koopman, Siem Jan; Ooms, Marius; … - 2008
Persistent link: https://www.econbiz.de/10003645204
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Seasonality with trend and cycle interactions in unobserved components models
Koopman, Siem Jan; Lee, Kai Ming - 2008
Persistent link: https://www.econbiz.de/10003706010
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Likelihood functions for state space models with diffuse initial conditions
Francke, Marc K.; Koopman, Siem Jan; Vos, Aart F. de - 2008
Persistent link: https://www.econbiz.de/10003706020
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Extracting business cycles using semi-parametric time-varying spectra with applications to US macroeconomic time series
Koopman, Siem Jan; Wong, Soon Yip - 2006
Persistent link: https://www.econbiz.de/10003408454
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Analyzing the term structure of interest rates using the dynamic Nelson-Siegel model with time-varying parameters
Koopman, Siem Jan; Mallee, Max I. P.; Wel, Michel van der - 2007
Persistent link: https://www.econbiz.de/10003609242
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Measuring asymmetric stochastic cycle components in US macroeconomic time series
Koopman, Siem Jan; Lee, Kai Ming - 2005
Persistent link: https://www.econbiz.de/10003115944