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Bayesian Vector Autoregressions with Stochastic Volatility Author info | Abstract | Publisher info | Download info | Related research | Statistics Harald Uhlig
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This paper proposes a Bayesian approach to a vector autoregression with stochastic volatility, where the multiplicative evolution of the precision matrix is driven by a multivariate beta variate. Exact updating formulas are given to the nonlinear filtering of the precision matrix. Estimation of the autoregressive parameters requires numerical methods: an importance-sampling-based approach is explained here.
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Article provided by Econometric Society in its journal Econometrica .
Volume (Year): 65 (1997)
Issue (Month): 1 (January)
Pages: 59-74
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Handle: RePEc:ecm:emetrp:v:65:y:1997:i:1:p:59-74Contact details of provider: Phone: 1 212 998 3820 Fax: 1 212 995 4487 Email: Web page: http://www.econometricsociety.org/ More information through EDIRC
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Geweke, John, 1989.
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Uhlig, H., 1999.
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[Downloadable!] Uhlig, Harald, 2005.
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