standard deviation. If you have some knowledge on the likelihood-based analysis, you should know that for any parameters to maximize the likelihood function, the optimization will not give the estimators of the parameters but also its standard deviation. The standard deviation is the opposite value of the Hessian matrix. In state-switching model, we need to maximize the likelihood function over the switching probability, so the estimator of the probability has its standard deviation.
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