Data augmentation in economic time series: Behavior and improvements in predictions

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...

Full description

Bibliographic Details
Main Author: Ana Lazcano de Rojas
Format: Article
Language:English
Published: AIMS Press 2023-08-01
Series:AIMS Mathematics
Subjects:
time series forecasting
financial forecasting
data augmentation
Online Access:https://www.aimspress.com/article/doi/10.3934/math.20231251?viewType=HTML

Internet

https://www.aimspress.com/article/doi/10.3934/math.20231251?viewType=HTML

Similar Items