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A Second-Order Asymptotic Expansion for Nonlinear Filtering in the Lorenz--63 System
A challenge in nonlinear filtering is to incorporate nonlinear effects into approximations of the conditional mean while retaining a finite-dimensional recursive algorithm. We derive a second-order asymptotic expansion of the filtering mean with respect to the system-noise intensity. We apply this e
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