Analysis of multivariate statistical models with heterogeneous structure in the case of hidden Markov dependence of the states
For vector autoregressive model with heterogeneous endogenous-exogenous structure and Markov switching states we propose the EM-algorithm for mixture decomposition, as well as discriminant analysis algorithm for classification of new observations. Accuracy of the algorithms is examined by means of computer simulation experiments.