Bayesian probability theory is presented as the single framework that unifies forward propagation, inverse calibration, surrogate modeling, model selection, experimental design, and sensitivity analysis in mechanics.
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Uncertainty quantification in mechanics: A unified Bayesian perspective
Bayesian probability theory is presented as the single framework that unifies forward propagation, inverse calibration, surrogate modeling, model selection, experimental design, and sensitivity analysis in mechanics.