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The Bayesian vector autoregressive (BVAR) model introduces the statistical properties of variables as the prior distribution of the parameters into the traditional vector autoregressive (VAR) model, which can overcome the problem of too little freedom. The BVAR model established in this paper can overcome the problem of short time series data by using prior statistical information. In theory, it should have a good effect in China's regional economic forecasting. Most regional forecasting modeldoi:10.1155/2021/9985072 doaj:e7317571e4254c539097513141b35388 fatcat:jlp3kjgrtzgjvhxtlsbivrvify