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We propose a new methodology for designing flexible proposal densities for the joint posterior density of parameters and states in a nonlinear non-Gaussian state space model. We show that a highly efficient Bayesian procedure emerges when these proposal densities are used in an independent...
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the modes of real GDP growth data from the PennWorld Tables and their evolution over time explores possible world …
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