Uncertainty quantification (UQ) is the science of quantitatively characterizing and reducing uncertainties in computational and real-world applications. It involves identifying sources of uncertainty, propagating them through models, and assessing their impact on outputs. Common uses include risk assessment, decision-making under uncertainty, and improving the reliability of predictions in fields like engineering, climate science, and finance.
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