TIME SERIES ANALYSIS AND FORECASTING
Modern methods for time series analysis, modelling and forecasting (with R)
In analysing time series one searches for structures and patterns to describe and explain the underlying process. But also for ways to forecast future values, based on adequate models fitted, or to research the effects of alternative scenarios.
Time series occur in a wide range of disciplines, from business, economic and social sciences to biomedical and engineering contexts. This course handles current methods for time series analysis, modelling and forecasting.
Apart from the traditional methods for trend and seasonal decomposition of time series, more advanced statistical techniques available for these tasks, both in the time-domain and in the frequency domain are discussed and underlying principles are explained.
This training is organized by PAO Techniek en Management, in cooperation with TU/e