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Numerically accelerated importance sampling for nonlinear non-Gaussian state space models
Koopman, Siem Jan; Lucas, André; Scharth, Marcel - 2011
Persistent link: https://www.econbiz.de/10008938571
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Forecasting the variability of stock index returns with stochastic volatility models and implied volatility
Hol Uspensky, Eugenie; Koopman, Siem Jan - 2000
Persistent link: https://www.econbiz.de/10001534834
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Long memory dynamics for multivariate dependence under heavy tails
Janus, Paweł; Koopman, Siem Jan; Lucas, André - 2011
Persistent link: https://www.econbiz.de/10009720703
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Monte Carlo maximum likelihood estimation for generalized long-memory time series models
Mesters, G.; Koopman, Siem Jan; Ooms, Marius - 2011
Persistent link: https://www.econbiz.de/10009720782
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Stationarity and ergodicity of univariate generalized autoregressive score processes
Blasques, Francisco; Koopman, Siem Jan; Lucas, André - 2012
Persistent link: https://www.econbiz.de/10009722625
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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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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