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Predicting time-varying parameters with parameter-driven and observation-driven models
Koopman, Siem Jan; Lucas, André; Scharth, Marcel - 2012
Persistent link: https://www.econbiz.de/10009722696
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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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Leverage and feedback effects on multifactor wishart stochastic volatility for option pricing
Asai, Manabu; McAleer, Michael - 2013
Persistent link: https://www.econbiz.de/10009724148
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A fractionally integrated wishart stochastic volatility model
Asai, Manabu; McAleer, Michael - 2013
Persistent link: https://www.econbiz.de/10009724817
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The impact of effect size heterogeneity on meta-analysis : a Monte Carlo experiment
Koetse, Mark J.; Florax, Raymond J. G. M.; Groot, Henri … - 2007
Persistent link: https://www.econbiz.de/10003644178
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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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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