Random Forests for Time Series

Random forests are a powerful learning algorithm. However, when dealing with time series, the time-dependent structure is lost, assuming the observations are independent. We propose some variants of random forests for time series. The idea is to replace standard bootstrap with a dependent block boo...

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Bibliographic Details
Main Authors: Benjamin Goehry, Hui Yan, Yannig Goude, Pascal Massart, Jean-Michel Poggi
Format: Article
Language:English
Published: Instituto Nacional de Estatística | Statistics Portugal 2023-06-01
Series:Revstat Statistical Journal
Subjects:
Online Access:https://revstat.ine.pt/index.php/REVSTAT/article/view/400