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Order Selection of Autoregressive Models

  • University of Rhode Island

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

This correspondence addresses the problem of order determination of autoregressive models by Bayesian predictive densities. A criterion is derived employing noninformative prior densities of the model parameters. The form of the obtained criterion coincides with that of Rissanen in [16]. Simulation results are presented which demonstrate the good performance of the criterion, and comparisons with four other popular approaches verify its superiority in many cases.

Original languageEnglish
Pages (from-to)2829-2833
Number of pages5
JournalIEEE Transactions on Signal Processing
Volume40
Issue number11
DOIs
StatePublished - Nov 1992

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