We live in a serendipitous era where the explosion in the quantum of data collected and a renewed interest in data-driven techniques such as machine learning (ML), has changed the landscape of ...

Researchers at Tsinghua University have developed a Series Saliency module guided by large language models that improves the ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

A new adaptive hybrid forecasting framework that dynamically reweights ARIMA, SETAR, and neural network components, augmented ...