Singular Spectrum Analysis (SSA) is a powerful nonparametric method that has emerged as a vital tool in the analysis and forecasting of time series data. By utilising matrix decomposition techniques, ...

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 ...

Recent advances in AI, such as foundation models, make it possible for smaller companies to build custom models to make predictions, reduce uncertainty, and gain business advantage. Time series ...

Time series forecasting requires simplifying complex environments into quantifiable variables. These simplifications, while ...

Trend analysis offers a measurable and verifiable method for businesses to project future outcomes. It can be used for failure analysis and as an early warning indicator of impending problems. Where ...

This course is available on the MSc in Data Science, MSc in Econometrics and Mathematical Economics, MSc in Financial Mathematics, MSc in Health Data Science, MSc in Marketing, MSc in Mathematics and ...

A key part of market analysis is predicting what market position your company will occupy in the future. Combining forecasting and analysis techniques allows you to determine how the market is going ...