Bayesian uncertainty analysis represents a powerful statistical framework that integrates prior knowledge with observed measurement data to quantify uncertainty in a consistent probabilistic manner.
Measurement uncertainty is a critical parameter that reflects the degree of confidence in the results provided by analytical and clinical laboratories. It encompasses the evaluation of both random ...
A Comprehensive Macroeconomic Uncertainty Measure for the Euro Area and its Implications to COVID-19
Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This paper develops a new data-driven metric to capture MacroEconomic Uncertainty (MEU) in the euro area. The measure is ...
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