A Bayesian extension of the minimum AIC procedure of autoregressive model fitting
自回归模型拟合中最小 AIC 程序的贝叶斯扩展
The proposal of simultaneous use of modified AIC statistics by Bhansali & Downham for the fitting of autoregressive models is reviewed and a Bayesian extension of the minimum AIC procedure is proposed. The practical utility of the procedure is demonstrated by numerical examples.