Estimating stochastic volatility models : a comparison of two importance samplers
Year of publication: |
2004
|
---|---|
Other Persons: | Lee, Kai Ming (contributor) ; Koopman, Siem Jan (contributor) |
Published in: |
Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet. - Berlin : De Gruyter, ISSN 1558-3708, ZDB-ID 1385261-9. - Vol. 8.2004, 2
|
Subject: | Maximum-Likelihood-Schätzung | Maximum likelihood estimation | Monte-Carlo-Simulation | Monte Carlo simulation | Statistische Verteilung | Statistical distribution |
-
Partial liklihood-based scoring rules for evaluating density forecasts in tails
Diks, Cees G. H., (2008)
-
A comparative study of Monte Carlo methods for efficient evaluation of marginal likelihood
Ardia, David, (2010)
-
Adaptive importance sampling for simulating copula-based distributions
Bee, Marco, (2011)
- More ...
-
Measuring Asymmetric Stochastic Cycle Components in U.S. Macroeconomic Time Series
Koopman, Siem Jan, (2005)
-
Seasonality with Trend and Cycle Interactions in Unobserved Components Models
Koopman, Siem Jan, (2008)
-
Estimating Stochastic Volatility Models: A Comparison of Two Importance Samplers
Lee, Kai Ming, (2004)
- More ...