Markov-switching model selection using Kullback–Leibler divergence
نویسندگان
چکیده
منابع مشابه
Markov-switching model selection using Kullback–Leibler divergence
In Markov-switching regression models, we use Kullback–Leibler (KL) divergence between the true and candidate models to select the number of states and variables simultaneously. Specifically, we derive a new information criterion, Markov switching criterion (MSC), which is an estimate of KL divergence. MSC imposes an appropriate penalty to mitigate the overretention of states in the Markov chai...
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ژورنال
عنوان ژورنال: Journal of Econometrics
سال: 2006
ISSN: 0304-4076
DOI: 10.1016/j.jeconom.2005.07.005