Computational aspects on the application of the Gaussian state space model
by Ibrahim Amrani & Abdelhalim Skalli.
The goal of this article is to show the possibility of combining the Rosenberg algorithm with the diffuse method of Koopman, in order to calculate the initial conditions of a state vector which comprises stochastic and fixed components. Under these conditions, and by applying EM algorithm, the covariance matrix of the disturbance vector of the transition equation is estimated while being diagonal. The unknown parameters of the transition matrix are estimated by applying selection matrices in the equation of EM algorithm.
: EM algorithm; Rosenberg algorithm; Diffuse initial conditions; State space model
Ibrahim Amrani, firstname.lastname@example.org
Abedelhalim Skalli, email@example.com
Ke, Weiming, Weiming.Ke@sdstate.edu
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