COMPARISON OF CRITERIA FOR ESTIMATING THE ORDER OF A VECTOR AUTOREGRESSIVE PROCESS
- 1 January 1985
- journal article
- Published by Wiley in Journal of Time Series Analysis
- Vol. 6 (1) , 35-52
- https://doi.org/10.1111/j.1467-9892.1985.tb00396.x
Abstract
Various criteria for estimating the order of a vector autoregressive process are compared in a simulation study. For the considered processes Schwarz's BIC criterion chooses the correct autoregressive order most often and leads to the smallest mean squared forecasting error in samples of the size usually available in practice.Keywords
This publication has 23 references indexed in Scilit:
- On the posterior odds of time series modelsBiometrika, 1983
- Modeling Multiple Times Series with ApplicationsJournal of the American Statistical Association, 1981
- SOME ASPECTS OF MODELLING AND FORECASTING MULTIVARIATE TIME SERIESJournal of Time Series Analysis, 1981
- A Note on the Generalized Information Criterion for Choice of a ModelBiometrika, 1980
- Posterior probabilities for choosing a regression modelBiometrika, 1978
- Estimating the Dimension of a ModelThe Annals of Statistics, 1978
- Some Properties of the Order of an Autoregressive Model Selected by a Generalization of Akaike's EPF CriterionBiometrika, 1977
- Selection of the order of an autoregressive model by Akaike's information criterionBiometrika, 1976
- Selection of the Order of an Autoregressive Model by Akaike's Information CriterionBiometrika, 1976
- A new look at the statistical model identificationIEEE Transactions on Automatic Control, 1974