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Evolution of forecast disagreement in a Bayesian learning model
Lahiri, Kajal; Sheng, Xuguang - In: Journal of econometrics 144 (2008) 2, pp. 325-340
Persistent link: https://www.econbiz.de/10003774622
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A flexible prior distribution for Markov switching autoregressions with student-t errors
Deschamps, Jean-Philippe - In: Journal of econometrics 133 (2006) 1, pp. 153-190
Persistent link: https://www.econbiz.de/10003354563
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Bayesian non-parametric signal extraction for Gaussian time series
Macaro, Christian - In: Journal of econometrics 157 (2010) 2, pp. 381-395
Persistent link: https://www.econbiz.de/10008662988
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Bayesian semiparametric stochastic volatility modeling
Jensen, Mark J.; Maheu, John M. - In: Journal of econometrics 157 (2010) 2, pp. 306-316
Persistent link: https://www.econbiz.de/10008663011
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A direct Monte Carlo approach for Bayesian analysis of the seemingly unrelated regression model
Zellner, Arnold; Ando, Tomohiro - In: Journal of econometrics 159 (2010) 1, pp. 33-45
Persistent link: https://www.econbiz.de/10008839945
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Tailored randomized block MCMC methods with application to DSGE models
Chib, Siddhartha; Ramamurthy, Srikanth - In: Journal of econometrics 155 (2010) 1, pp. 19-38
Persistent link: https://www.econbiz.de/10003965375
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Mixtures of g-priors for Bayesian model averaging with economic applications
Ley, Eduardo; Steel, Mark F. J. - In: Journal of econometrics 171 (2012) 2, pp. 251-266
Persistent link: https://www.econbiz.de/10009691149
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A class of adaptive importance sampling weighted EM algorithms for efficient and robust posterior and predictive simulation
Hoogerheide, Lennart; Opschoor, Anne; Dijk, Herman K. van - In: Journal of econometrics 171 (2012) 2, pp. 101-120
Persistent link: https://www.econbiz.de/10009691174
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Bayesian bandwidth selection in nonparametric time-varying coefficient models
Cheng, Tingting; Gao, Jiti; Zhang, Xibin - 2013
Persistent link: https://www.econbiz.de/10009713007
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Bayesian semiparametric GARCH Models
Zhang, Xibin; King, Maxwell L. - 2011
This paper aims to investigate a Bayesian sampling approach to parameter estimation in the semiparametric GARCH model with an unknown conditional error density, which we approximate by a mixture of Gaussian densities centered at individual errors and scaled by a common standard deviation. This...
Persistent link: https://www.econbiz.de/10009406237