R.E Kalman published a paper about a recursive solution to a discrete-data linear filtering problem. The Kalman filter provided us a computational method to estimate unobservable variables through minimization the posterior error. Moreover, Kalman filter enabled us to obtain the consistent parameter estimates by maximizing the likelihood function of error innovations.

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