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Comparative performance of autoregressive order determination criteria for subset modelling
Abstract
The efficiencies of eight autoregressive model order determination criteria:
AIC, BIC, SIC, S, F, FPE4, CAT2, CAT3, for the selection of subset models are
compared using artificial and real series. Our observation is that BIC, S and FPE4 performed well in a wide range of models.
AIC, BIC, SIC, S, F, FPE4, CAT2, CAT3, for the selection of subset models are
compared using artificial and real series. Our observation is that BIC, S and FPE4 performed well in a wide range of models.
