This paper proposes a parameter estimation method for state-space models based on the variational Bayes method. The proposed algorithm employs the prior and posterior distributions in the same form. This allows us to use it iteratively to obtain accurate estimation whereas the existing algorithms cannot be used iteratively. Furthermore a numerical example demonstrates the effectiveness of the proposed method.
