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On unified model selection for stationary and nonstationary short- and long-memory autoregressive processes
Authors:BERAN, J.   BHANSALI, R. J.   OCKER, D.
Affiliation:Department of Mathematics and Computer Science, University of Konstanz Universitätsstrasse 10, Postfach 5560, 78457 Konstanz, Germanyjberan{at}iris.rz.uni-konstanz.de
Department of Statistics and Computational Mathematics, University of Liverpool Brownlow Hill, P.O. Box 147, Liverpool L69 3BX, U.K.sa17{at}liverpool.ac.uk
Department of Economics and Statistics, University of Konstanz Universitätsstrasse 10, Postfach 5560, 78457 Konstanz, Germanydirk.ocker{at}uni-konstanz.de
Abstract:
Keywords:AIC    Autoregressive process    BIC    Box-Jenkins ARIMA    Differencing    Fractional ARIMA    HIC    Long-range dependence    Maximum likelihood estimation    Model choice
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