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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
Institution: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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