Extracting Governing Laws from Sample Path Data of Non-Gaussian Stochastic Dynamical Systems
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Mathematical Physics,Statistical and Nonlinear Physics
Link
https://link.springer.com/content/pdf/10.1007/s10955-022-02873-y.pdf
Reference60 articles.
1. Hosni, H., Vulpiani, A.: Forecasting in light of big data. Philos. Technol. 31, 557–569 (2018)
2. Baldovin, M., Cecconi, F., Cencini, M., Puglisi, A., Vulpiani, A.: The role of data in model building and prediction: a survey through examples. Entropy 20, 807 (2018)
3. Boninsegna, L., Nüske, F., Clementi, C.: Sparse learning of stochastic dynamical equations. J. Chem. Phys. 148, 241723 (2018)
4. Dai, M., Gao, T., Lu, Y., Zheng, Y., Duan, J.: Detecting the maximum likelihood transition path from data of stochastic dynamical systems. Chaos 30, 113124 (2020)
5. RezaRahimiTabar, M.: Analysis and data-based reconstruction of complex nonlinear dynamical systems. Springer, New York (2019)
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