3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting
Rakshitha Godahewa, Geoffrey I. Webb, Daniel Schmidt +1
Threshold Autoregressive (TAR) models have been widely used by statisticians for non-linear time series forecasting during the past few decades, due to their simplicity and mathema…
cs.LG2022★ 3 cited
FRANS: Automatic Feature Extraction for Time Series Forecasting
Alexey Chernikov, Chang Wei Tan, Pablo Montero-Manso +1
Feature extraction methods help in dimensionality reduction and capture relevant information. In time series forecasting (TSF), features can be used as auxiliary information to ach…