A new ensemble Kalman filter built on possibility theory fits the tightest Gaussian possibility function to weighted particles, yielding better calibrated uncertainty estimates from small ensembles.
Observer control for bearings-only tracking using possibility functions
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Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty
A new ensemble Kalman filter built on possibility theory fits the tightest Gaussian possibility function to weighted particles, yielding better calibrated uncertainty estimates from small ensembles.