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Using a Bayesian framework this paper provides a multivariate combination approach to prediction based on a distributional state space representation of predictive densities from alternative models. In the proposed approach the model set can be incomplete. Several multivariate time-varying...
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of the predictive densities. For illustrative purposes we apply it to combine White Noise and GARCH models to forecast …
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