Bayesian estimation methods form a dynamic branch of statistical inference, utilising Bayes’ theorem to update probabilities in light of new evidence. This framework combines prior knowledge with ...

Bayesian techniques are widely used in these days for simultaneous estimation of several parameters in compound decision problems. Often, however, the main objective is to produce an ensemble of ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This paper reviews recent advances in the specification and estimation of Bayesian Vector Autoregressive models (BVARs).