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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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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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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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Probabilistic bounded relative error property for learning rare event simulation techniques
Ridder, Ad; Tuffin, Bruno - 2012
Persistent link: https://www.econbiz.de/10009722965
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Finite-state Markov chains obey Benford's law
Kaynar, Bahar; Berger, Arno; Hill, Theodore P.; Ridder, Ad - 2010
Persistent link: https://www.econbiz.de/10003973371
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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