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Time series modelling of daily tax revenues

Koopman, Siem Jan; Ooms, Marius - 2001

Persistent link: https://www.econbiz.de/10001569678

Business and default cycles for credit risk

Koopman, Siem Jan; Lucas, André - 2003

Persistent link: https://www.econbiz.de/10001792714

Tracking growth and the business cycle : a stochastic common cycle model for the euro area

Azevedo, João Valle e; Koopman, Siem Jan; Rua, António - 2003

Persistent link: https://www.econbiz.de/10001792789

Modeling and forecasting S&P 500 volatility : long memory, structural breaks and nonlinearity

Martens, Martin; Dijk, Dick van; Pooter, Michiel de - 2004

Persistent link: https://www.econbiz.de/10002128301

Spline smoothing over difficult regions : a state space approach

Koopman, Siem Jan; Wong, Soon Yip - 2008

Persistent link: https://www.econbiz.de/10003811428

Out-of-sample comparison of Copula specifications in multivariate density forecasts

Diks, Cees G. H.; Panchenko, Valentyn; Dijk, Dick van - 2008

Persistent link: https://www.econbiz.de/10003787159

A general framework for observation driven time-varying parameter models

Creal, Drew; Koopman, Siem Jan; Lucas, André - 2008

Persistent link: https://www.econbiz.de/10003787160

An alternative Bayesian approach to structural breaks in time series models

Hauwe, Sjoerd van den; Paap, Richard; Dijk, Dick van - 2011

Persistent link: https://www.econbiz.de/10008857052

The analysis of stochastic volatility in the presence of daily realised measures

Koopman, Siem Jan; Scharth, Marcel - 2011

Persistent link: https://www.econbiz.de/10010191086

Joint Bayesian analysis of parameters and states in nonlinear, non-Gaussian state space models

Barra, István; Hoogerheide, Lennart; Koopman, Siem Jan; … - 2014

We propose a new methodology for designing flexible proposal densities for the joint posterior density of parameters and states in a nonlinear non-Gaussian state space model. We show that a highly efficient Bayesian procedure emerges when these proposal densities are used in an independent...

Persistent link: https://www.econbiz.de/10010399681