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Several lessons learned from a Bayesian analysis of basic economic time series models by means of the Gibbs sampling …
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A flexible predictive density combination is introduced for large financial data sets which allows for model set incompleteness. Dimension reduction procedures that include learning allocate the large sets of predictive densities and combination weights to relatively small subsets. Given the...
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We consider likelihood inference and state estimation by means of importance sampling for state space models with a … are presented that lead to a more effective implementation of importance sampling for state space models. An illustration …
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We consider an adaptive importance sampling approach to estimating the marginal likelihood, a quantity that is … importance sampling approach is that random samples can be obtained from some convenient density with little additional costs. As … method is grounded in information theory, and therefore, is in a well-defined sense optimal. We demonstrate the utility of …
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