2 papers
econ.EM2026
The Promise of Time-Series Foundation Models for Agricultural Forecasting: Evidence from Commodity Prices
Le Wang, Boyuan Zhang
Forecasting agricultural markets remains challenging due to nonlinear dynamics, structural breaks, and sparse data. A long-standing belief holds that simple time-series methods out…
cs.LG2025
Empowering Time Series Analysis with Foundation Models: A Comprehensive Survey
Jiexia Ye, Yongzi Yu, Weiqi Zhang +3
Time series data are ubiquitous across diverse real-world applications, making time series analysis critically important. Traditional approaches are largely task-specific, offering…