Bayesian analysis of autoregressive moving average processes with unknown orders
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- J. Vermaak & C. Andrieu & A. Doucet & S. J. Godsill, 2004. "Reversible Jump Markov Chain Monte Carlo Strategies for Bayesian Model Selection in Autoregressive Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(6), pages 785-809, November.
- Monahan, John F., 1983. "Fully Bayesian analysis of ARMA time series models," Journal of Econometrics, Elsevier, vol. 21(3), pages 307-331, April.
- Barnett, Glen & Kohn, Robert & Sheather, Simon, 1996.
"Bayesian estimation of an autoregressive model using Markov chain Monte Carlo,"
Journal of Econometrics, Elsevier, vol. 74(2), pages 237-254, October.
- Barnett, G. & Kohn, R. & Sheather, S., "undated". "Bayesian Estimation of an Autoregressive Model Using Markov Chain Monte Carlo," Statistics Working Paper _001, Australian Graduate School of Management.
- G. Huerta & M. West, 1999. "Priors and component structures in autoregressive time series models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(4), pages 881-899.
- Olivier Cappé & Christian P. Robert & Tobias Rydén, 2003. "Reversible jump, birth‐and‐death and more general continuous time Markov chain Monte Carlo samplers," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(3), pages 679-700, August.
- Barndorff-Nielsen, O. & Schou, G., 1973. "On the parametrization of autoregressive models by partial autocorrelations," Journal of Multivariate Analysis, Elsevier, vol. 3(4), pages 408-419, December.
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- Meyer-Gohde, Alexander & Neuhoff, Daniel, 2015.
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- Meyer-Gohde, Alexander & Neuhoff, Daniel, 2018. "Generalized exogenous processes in DSGE: A Bayesian approach," IMFS Working Paper Series 125, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Vosseler, Alexander, 2016. "Bayesian model selection for unit root testing with multiple structural breaks," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 616-630.
- repec:hum:wpaper:sfb649dp2015-014 is not listed on IDEAS
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