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study proposes a simple way of avoiding this problem and undertakes an out-of-sample forecast evaluation of the methodology …
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We develop novel multivariate state-space models wherein the latent states evolve on the Stiefel manifold and follow a conditional matrix Langevin distribution. The latent states correspond to time-varying reduced rank parameter matrices, like the loadings in dynamic factor models and the...
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