Choosing a Model and Strategy of Model Selection by Accumulated Prediction Error

Mariola Piłatowska

DOI: http://dx.doi.org/10.12775/DEM.2010.009

Abstract


The purpose of the paper is to present and apply the accumulative one-step-ahead prediction error (APE) not only as a method (strategy) of model selection, but also as a tool of model selection strategy (meta-selection). The APE method is compared with the information approach to model selection (AIC and BIC information criteria), supported by empirical examples. Obtained results indicated that the APE method may be of considerable practical importance.


Keywords


model selection, meta-selection, information criteria, accumulative prediction error

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References


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ISSN (print) 1234-3862
ISSN (online) 2450-7067

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