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I will discuss a nonparametric modeling approach for forecasting stochastic dynamical systems on low-dimensional manifolds.In the limit of large data,this approach converges to a Galerkin projection of the semigroup solution of the backward Kolmogorov equation of the underlying dynamics on a basis adapted to the invariant measure.