“Identifying Interactions in Complex Networked Dynamical Systems through a Causation Principle” is the Subject of the Next Clarkson University Science Café on November 13
Understanding cause and effect underpins so many of our most basic scientific questions. Inferring the coupling structure of complex systems from time series data in general by means of statistical and information-theoretic techniques is a challenging problem in “data-enabled science.” Clarkson University’s W Jon Harrington Professor of Mathematics, Professor of Electrical & Computer Engineering, and […]