  In this note, we propose a new approach for the proof of the consistency and
normality of the maximum likelihood estimator for nonlinear AR processes with
markov-switching under the assumptions of uniform exponential forgetting of the
prediction filter and $\alpha$-mixing property. We show that in the linear and
Gaussian case our assumptions are fully satisfied.
