Journal
SIGNAL PROCESSING
Volume 93, Issue 1, Pages 49-55Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.sigpro.2012.06.017
Keywords
AIC; AIC(c); BIC; Consistent criterion; KICvc; Order selection
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Funding
- National Science Council of Taiwan [98-2118-M-006-008-MY3]
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We propose a consistent criterion WICvc (vector corrected weighed average information criterion) for model order selection in multivariate linear regression models. The WICvc is a weighted average of the asymptotically efficient criterion KICvc (vector corrected Kullback information criterion) and the consistent criterion MBIC (multivariate Bayesian information criterion). The WICvc behaves like KICvc in small samples and behaves like MBIC in large samples. A numerical study comparing the performance of the proposed criterion with several available model selection criteria has been done. It shows that, over a wide range of small, moderate and large sample sizes, the WICvc is more stable in comparison to other criteria in the study; that is, the WICvc is either as good or comes in a strong second, whereas other criteria vary more in performance ranking. Therefore, the WICvc is a very reliable and practical criterion. (c) 2012 Elsevier B.V. All rights reserved.
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