A review of the IDENT family of sparsity-based methods for identifying differential equations from noisy data, with a new noise-to-signal ratio metric.
A new look at the statistical model identification
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IDENT Review: Recent Advances in Identification of Differential Equations from Noisy Data
A review of the IDENT family of sparsity-based methods for identifying differential equations from noisy data, with a new noise-to-signal ratio metric.