Estimation of parameters and eigenmodes of multivariate autoregressive models
ACM Transactions on Mathematical Software (TOMS)
Adaptive Estimation and Control
Adaptive Estimation and Control
Moving target feature extraction for airborne high-range resolutionphased-array radar
IEEE Transactions on Signal Processing
Genetically determined variable structure multiple model estimation
IEEE Transactions on Signal Processing
Order selection for vector autoregressive models
IEEE Transactions on Signal Processing
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A new method for simultaneous order estimation and parameter identification of a multivariate autoregressive (AR) model is described in this paper. The proposed method is based on the well known multimodel partitioning theory. Computer simulations indicate that the method is 100% successful in selecting the correct model order in very few steps. The results are compared with another two established order selection criteria the Akaike’s Final Prediction Error (FPE) and Schwarz’s Bayesian Criterion (BIC).