Tag Archives: evaluation

ABC-XYZ analysis for forecasting

The ABC-XYZ analysis is a very popular tool in supply chain management. It is based on the Pareto principle, i.e. the expectation that the minority of cases has a disproportional impact to the whole. This is often referred to as the 80/20 rule, with the classical example that the 80% of the wealth is owned… Read More »

ISF 2016 research presentations

It has been a while since I got the time to post any updates, but finally got round to it. Last June I attended the International Symposium on Forecasting (ISF) at Santander, which had been very interesting and enjoyable. I had already posted about the presentations I gave. I was involved in a number of… Read More »

Academia vs. Business: Two Sides of the Same Coin

Issue 41 of Foresight featured a short commentary by Sujit Singh on the gaps between academia and business. Together with Fotios Petropoulos, motivated by our focus to produce and disseminate research that is directly applicable to practice, in this commentary we present our views on some of the very useful and interesting points raised by… Read More »

International Symposium on Forecasting Presentations

Last week I attended the International Symposium on Forecasting 2016. It was very interesting and enjoyable. Apart from the workshop on forecasting with R, I gave the following presentations: Forecasting with Temporal Hierarchies This presentation was given to the practitioner track of the conference and its aim was to introduce the basic idea of temporal… Read More »

The Bias Coefficient: a new metric for forecast bias

In this post I introduce a new bias metric that has several desirable properties over traditional ones. When evaluating forecasting performance it is important to look at two elements: forecasting accuracy and bias. Although there has been substantial progress in the measurement of accuracy with various metrics being proposed, there has been rather limited progress… Read More »

Time series forecasting competition with computational intelligence methods

I recently became aware of a new forecasting competition: “International Forecasting Competition – Computational Intelligence in Forecasting”. The competition involves forecasting 91 time series of annual, quarterly, monthly and daily sampling frequency of various lengths. Although the competition is focused on computational intelligence methods (incl. fuzzy method, artificial neural networks, evolutionary algorithms, decision & regression… Read More »