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Predictive Modeling - Coping with Uncertainty

Daniel Tartakovsky
Alberto Guadagnini

Our ability to make accurate predictions of the behavior of most physical and social systems is often hampered by the lack of sufficient data. Recent advances in the theory and application of stochastic partial differential equations provide a powerful tool for coping with the uncertainty that arise from our limited knowledge of such systems.