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The polynomial chaos Kalman filter (PCKF) has been gaining popularity as a computationally efficient and robust alternative to sampling methods in sequential data assimilation settings. The PCKF's sampling free scheme and attractive structure to represent non‐Gaussian uncertainties makes it a promising approach for data filtering techniques in nonlinear and non‐Gaussian frameworks. However, the accuracy...
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