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Bayesian Markov-Switching Vector Autoregressive Process

Battulga Gankhuu

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Abstract: This study introduces marginal density functions of the general Bayesian Markov-Switching Vector Autoregressive (MS-VAR) process. In the case of the Bayesian MS-VAR process, we provide closed-form density functions and Monte-Carlo simulation algorithms, including the importance sampling method. The Monte-Carlo simulation method departs from the previous simulation methods because it removes the duplication in a regime vector.

Date: 2024-04, Revised 2024-09
New Economics Papers: this item is included in nep-ecm and nep-ets
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