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Scientists usually use a hypergraph model to predict dynamic behaviors. But the opposite problem is interesting, too. What if researchers can observe the dynamics but don't have access to a reliable ...
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Mapping dynamical systems: New algorithm infers hypergraph structure from time-series data without prior knowledgeIn a network, pairs of individual elements, or nodes, connect to each other; those connections can represent a sprawling system with myriad individual links. A hypergraph goes deeper: It gives ...
A goal of the course is to understand the suitability of different methods for characterizing systems with noise, nonlinearities, and other dynamic characteristics. Topics will include Granger ...
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