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Singular Stochastic Dynamics refers to the study of systems subject to random influences where typical probabilistic treatments fail due to degeneracies or 'singularities', leading to unique methodological challenges and solutions. It is crucial in understanding phenomena in which noise plays a critical role, such as in financial systems or complex biological networks, where classical methods fall short of accurately modeling system behavior.
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