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volatility and Student-t disturbances outperforms restricted alternatives that feature either attributes. The VAR model with …
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methods. The effects ofseveral modelcharacteristics (unit roots, GARCH, stochastic volatility, heavy taileddisturbance …
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This chapter reviews Bayesian methods for inference and forecasting with VAR models. Bayesian inference and, by extension, forecasting depends on numerical methods for simulating from the posterior distribution of the parameters and special attention is given to the implementation of the...
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predictors, where robust stands for the use of mixtures of proper conjugate priors. Concerning dynamic analysis, volatility …
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