Inverse Problems
Probabilistic modeling is a mathematical approach that uses probability distributions to represent uncertainty in complex systems or processes. It enables the incorporation of randomness and variability, allowing for better predictions and understanding of outcomes based on given data. This approach is particularly useful when dealing with uncertainty quantification, where understanding the impact of input uncertainties on model outputs is crucial.
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