Numerically accelerated importance sampling for nonlinear non-Gaussian state space models
Year of publication: |
2011
|
---|---|
Authors: | Koopman, Siem Jan ; Lucas, André ; Scharth, Marcel |
Publisher: |
Amsterdam [u.a.] |
Subject: | Zustandsraummodell | State space model | Maximum-Likelihood-Schätzung | Maximum likelihood estimation | Stochastischer Prozess | Stochastic process | Volatilität | Volatility | Multivariate Verteilung | Multivariate distribution | Monte-Carlo-Simulation | Monte Carlo simulation | Theorie | Theory |
-
Numerically Accelerated Importance Sampling for Nonlinear Non-Gaussian State Space Models
Koopman, Siem Jan, (2012)
-
Numerically accelerated importance sampling for nonlinear non-Gaussian state space models
Koopman, Siem Jan, (2012)
-
Malik, Sheheryar, (2011)
- More ...
-
Numerically Accelerated Importance Sampling for Nonlinear Non-Gaussian State Space Models
Koopman, Siem Jan, (2012)
-
Predicting time-varying parameters with parameter-driven and observation-driven models
Koopman, Siem Jan, (2012)
-
Predicting time-varying parameters with parameter-driven and observation-driven models
Koopman, Siem Jan, (2016)
- More ...