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In this paper we study the error covariance matrix of the recursive Kalman filter when the parameters of the filter are driven by a Markov chain taking values in a countably infinite set. In this context, the error covariance matrix of the filter depends on the Markov state realizations, and in this sense forms a stochastic process. We show in a rather direct and comprehensive manner that a standard...
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