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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Published in | Computational statistics & data analysis Vol. 120; pp. 70 - 83 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.04.2018
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Subjects | |
Online Access | Get full text |
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