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 ...
Statistical analysis on landmark-based shape spaces has diverse applications in morphometrics, medical diagnostics, machine vision and other areas. These shape spaces are non-Euclidean quotient ...
Bayesian Vars: A Survey of the Recent Literature with An Application to the European Monetary System
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).
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