KalmanFilter.initialize_known()

statsmodels.tsa.statespace.kalman_filter.KalmanFilter.initialize_known

KalmanFilter.initialize_known(initial_state, initial_state_cov)

Initialize the statespace model with known distribution for initial state.

These values are assumed to be known with certainty or else filled with parameters during, for example, maximum likelihood estimation.

Parameters:	initial_state : array_like Known mean of the initial state vector. initial_state_cov : array_like Known covariance matrix of the initial state vector.