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It is well known that particle filters and Markov chain Monte Carlo methods are too expensive for high dimensional models; more robust techniques such as low rank versions of the Kalman filter are usually applied in large scale models. Common feature of all the ensemble Kalman type filters is that the model state and parameters are updated using the covariance matrix between the model states and the...
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