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that this will lead to a dynamic factor model with the dominant unit acting as the factor. The problems of estimation and …
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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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inference that feature varying level of trade-off between estimation precision and computational speed. Using monthly data for …
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