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We consider the dynamic factor model where the loading matrix, the dynamic factors and the disturbances are treated as latent stochastic processes. We present empirical Bayes methods that enable the efficient shrinkage-based estimation of the loadings and the factors. We show that our estimates...
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states and model variables, which is sparse and banded in many economic applications and allows for efficient sampling. The … existing literature on precision-based sampling is focused on complete-data applications, whereas the proposed samplers in this …
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