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The dynamic Skellam model with applications
Koopman, Siem Jan; Lit, Rutger; Lucas, André - 2014
We introduce a dynamic statistical model for Skellam distributed random variables. The Skellam distribution can be obtained by taking differences between two Poisson distributed random variables. We treat cases where observations are measured over time and where possible serial correlation is...
Persistent link: https://www.econbiz.de/10010253460
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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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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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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