Hidden Markov Models, Markov Chains, Markov Switching, Markov Auto Regression, Maximum Likelihood.
The second component comes from the residual error ε_t. As with the MSDR model, the regime of the hidden Markov process influences the fitted mean of the model. Notice that this model depends not only on the value of the regime at time t but also on what regime was in effect at the previous time