Pre-trained foundation models are making time-series forecasting more accessible and available, unlocking its benefits for smaller organizations with limited resources. Over the last year, we’ve seen ...

Time series forecasts are used to predict a future value or a classification at a particular point in time. Here’s a brief overview of their common uses and how they are developed. Industries from ...

In the 21st century, as global trade expands and cargo volumes surge, ports face mounting pressure to operate efficiently. A ...

The Canadian Journal of Economics / Revue canadienne d'Economique, Vol. 41, No. 1 (Feb., 2008), pp. 138-165 (28 pages) This paper assesses the out-of-sample forecasting accuracy of the New Keynesian ...

Bayesian approaches to the study of politics are increasingly popular. But Bayesian approaches to modeling multiple time series have not been critically evaluated. This is in spite of the potential ...

Every company that uses sales forecasts possesses its own technique to approach the forecasting process. Some companies have a dedicated team of forecast professionals while others use the sales staff ...

Small-business owners pay an awful lot of attention to demand when building their sales forecasts. Demand forecasts tell entrepreneurs not only what products consumers may buy but also what products ...