kEDMD for stochastic systems has L^∞ error bounds that separate a deterministic fill-distance term from a probabilistic Monte Carlo sampling term.
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Koopman for stochastic dynamics: error bounds for kernel extended dynamic mode decomposition
kEDMD for stochastic systems has L^∞ error bounds that separate a deterministic fill-distance term from a probabilistic Monte Carlo sampling term.