Bayesian data-driven discovery of partial differential equations with variable coefficients

S. Zhang, G. Lin, Robust data-driven discovery of governing physical laws using a new subsampling-based sparse bayesian method to tackle four challenges (large noise, outliers, data integration, and extrapolation), arXiv preprint arXiv:1907.07788

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S. H. Rudy, S. L. Brunton, J. L. Proctor, J. N. Kutz, Data-driven discovery of partial differential equations, Science Advances 3 (4) (2017) e1602614

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