International Journal of Forecasting 2014-2015 best paper award

By | June 29, 2017

In the very enjoyable and stimulating International Symposium on Forecasting that just finished in Cairns, Australia, the International Journal of Forecasting (IJF) best paper award for the years 2014-2015 (list of past papers can be found here) was given to one of my papers: Improving forecasting by estimating time series structural components across multiple frequencies!

This paper proposes the use of Multiple Temporal Aggregation approach that I have been posting about, and introduces the MAPA forecasting method, for which there is an R package. The other shortlisted papers were of very good quality and I am humbled by the choice of the editorial board. My thanks to my co-authors and the reviewers, who made this paper possible.

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