Sales and demand forecasting has evolved markedly with the convergence of traditional statistical techniques and cutting‐edge machine learning methods. Time series analysis remains central to ...

Prediction problems that involve a time component require time series forecasting, which provides a data-driven approach to effective and efficient planning. Time series forecasting applications ...

Infrastructure pivots on complex, long-term planning involving millions of dollars. But with modern data methods, argues Balaji Sreenivasan, the government can achieve more confidence about what ...

The 2023 paper “Time Series-Based Quantitative Risk Models: Enhancing Accuracy in Forecasting and Risk Assessment” by Olanrewaju Olukoya Odumuwagun, published in the International Journal of ...

It has been suggested that inflation forecasts derived from short-term interest rates are as accurate as time-series forecasts. Previous analyses of this notion have focused on U.S. data, providing ...