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  • Search: person:"Fournier, David A."
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Year of publication
Subject
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Bayes-Statistik 1 Bayesian inference 1 State space model 1 Stochastic process 1 Stochastischer Prozess 1 Theorie 1 Theory 1 Volatility 1 Volatilität 1 Zustandsraummodell 1
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Undetermined 1
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Article 4
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
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Undetermined 3 English 1
Author
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Fournier, David A. 4 Berg, Andreas 3 Meyer, Renate 3 Skaug, Hans J. 1
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The econometrics journal 2 Computational Statistics & Data Analysis 1 Econometrics Journal 1
Source
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RePEc 2 ECONIS (ZBW) 1 OLC EcoSci 1
Showing 1 - 4 of 4
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Automatic approximation of the marginal likelihood in non-Gaussian hierarchical models
Skaug, Hans J.; Fournier, David A. - In: Computational Statistics & Data Analysis 51 (2006) 2, pp. 699-709
Persistent link: https://www.econbiz.de/10005172267
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Stochastic volatility : Bayesian computation using automatic differentiation and the extended Kalman filter
Meyer, Renate; Fournier, David A.; Berg, Andreas - In: The econometrics journal 6 (2003) 2, pp. 408-420
Persistent link: https://www.econbiz.de/10001831283
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Stochastic volatility: Bayesian computation using automatic differentiation and the extended Kalman filter
Meyer, Renate; Fournier, David A.; Berg, Andreas - In: Econometrics Journal 6 (2003) 2, pp. 408-420
Stochastic volatility (SV) models provide more realistic and flexible alternatives to ARCH-type models for describing time-varying volatility exhibited in many financial time series. They belong to the wide class of nonlinear state-space models. As classical parameter estimation for SV models is...
Persistent link: https://www.econbiz.de/10005607085
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Stochastic volatility: Bayesian computation using automatic differentiation and the extended Kalman filter
Meyer, Renate; Fournier, David A.; Berg, Andreas - In: The econometrics journal 6 (2003) 2, pp. 408-420
Persistent link: https://www.econbiz.de/10007458516
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