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On Data-Driven Computation of Information Transfer for Causal Inference in Discrete-Time Dynamical Systems., and . J. Nonlinear Sci., 30 (4): 1651-1676 (2020)Data-Driven Operator Theoretic Methods for Global Phase Space Learning., , and . CoRR, (2019)Causal Analysis and Classification of Traffic Crash Injury Severity Using Machine Learning Algorithms., , and . CoRR, (2021)On Computation of Koopman Operator from Sparse Data., , and . ACC, page 5519-5524. IEEE, (2019)Causality preserving information transfer measure for control dynamical system., and . CDC, page 7329-7334. IEEE, (2016)A data-driven method for quantifying the impact of a genetic circuit on its host., , , , , , , , , and 5 other author(s). BioCAS, page 1-4. IEEE, (2019)Data Driven Online Learning of Power System Dynamics., , and . CoRR, (2020)Data-driven Characterization of Recovery Energy in Controlled Dynamical Systems using Koopman Operator., , , and . CDC, page 2230-2235. IEEE, (2022)Robust Approximation of Koopman Operator and Prediction in Random Dynamical Systems., , and . ACC, page 5491-5496. IEEE, (2018)Data-driven Influence Based Clustering of Dynamical Systems.. ECC, page 1043-1048. IEEE, (2022)