A note on the validity of cross-validation for evaluating autoregressive time series prediction

One of the most widely used standard procedures for model evaluation in classification and regression is K-fold cross-validation (CV). However, when it comes to time series forecasting, because of the inherent serial correlation and potential non-stationarity of the data, its application is not stra...

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Bibliographic Details
Published inComputational statistics & data analysis Vol. 120; pp. 70 - 83
Main Authors Bergmeir, Christoph, Hyndman, Rob J., Koo, Bonsoo
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.04.2018
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