Tag Archives: Theta method

Material for `Forecasting with R: A practical workshop”

Together with Fotios Petropoulos we gave a workshop on producing forecasts with R, at the International Symposium on Forecasting, 2016. You can find the material of the workshop here. The workshop notes assume knowledge of what the various forecasting methods do, which are only briefly explained in the workshop’s slides, and mostly focuses in showing… Read More »

Guest post: On the robustness of bagging exponential smoothing

This is a guest blog entry by Fotios Petropoulos. A few months ago, Bergmeir, Hyndman and Benitez made available a very interesting working paper titled “Bagging exponential smoothing methods using STL decomposition and Box-Cox transformation”. In short, they successfully employed the bootstrap aggregation technique for improving the performance of exponential smoothing. The bootstrap technique is… Read More »

Update for TStools

Amongst various minor improvements a few interesting new functions have been added to TStools package for R: Theta method ABC-XYZ analysis Theta method was found to be the most accurate in the M3 forecasting competition, but since then there has been limited use of the method. As it was later shown, the M3 competition Theta… Read More »