Data augmentation in economic time series: Behavior and improvements in predictions
The performance of neural networks and statistical models in time series prediction is conditioned by the amount of data available. The lack of observations is one of the main factors influencing the representativeness of the underlying patterns and trends. Using data augmentation techniques based o...
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Format: | Article |
Language: | English |
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AIMS Press
2023-08-01
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Series: | AIMS Mathematics |
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Online Access: | https://www.aimspress.com/article/doi/10.3934/math.20231251?viewType=HTML |