Weak-Form Recovery of Stochastic Generators
The algorithm recovers both drift and diffusion coefficients of a stochastic differential equation from a single trajectory. It achieves this by aggregating candidate terms across the entire path before regression, avoiding time-step estimation issues. This allows for direct calculation of important dynamical quantities like relaxation timescales and escape rates.