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Updated: Aug 11, 2026

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
Published on: May 25, 2019
ON THE CONVERGENCE OF THE ENSEMBLE KALMAN FILTER
Jan Mandel1, Loren Cobb1, Jonathan D Beezley1
1Denver, CO, USA.
Abstract:
Convergence of the ensemble Kalman filter in the limit for large ensembles to the Kalman filter is proved. In each step of the filter, convergence of the ensemble sample covariance follows from a weak law of large numbers for exchangeable random variables, the continuous mapping theorem gives convergence in probability of the ensemble members, and Lp bounds on the ensemble then give Lp convergence.
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