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We review the literature on robust Bayesian analysis as a tool for global sensitivity analysis and for statistical decision-making under ambiguity. We discuss the methods proposed in the literature, including the different ways of constructing the set of priors that are the key input of the...
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posterior probabilities is simplified due to the concentration of the prior on the maximum entropy hypothesis. The relationship … between maximum entropy reasoning and Bayes' theorem from this point of view is that maximum entropy reasoning is a special … case of Bayesian inference with a constrained entropy-favoring prior. …
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In this paper, I build a Dynamic Stochastic General Equilibrium (DSGE) model and estimate it using Bayesian Markov Chain Monte Carlo (MCMC) methods. I use the results in order to examine how asset prices and macroeconomic quantities respond to the di erent shocks in the economy. Fluctuations in...
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