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M-competitions, from M4 to M5: reservations and expectations

2020-03-012024-03-15 3 Comments

UPDATE: I have also written a short post on “The role of M competitions in forecasting“, which gives historical perspective and a brief overview of the main findings of the previous competitions. Some of you might have noticed that the guidelines for the M5 competition have finally been released. Those of you who have previously […]

Naughty APEs and the quest for the holy grail

2017-07-292024-04-04 Leave a comment

Today I want to tell you a story of naughty APEs and the quest for the holy grail in forecasting. The topic has already been known for a while in academia, but is widely ignored by practitioners. APE stands for Absolute Percentage Error and is one of the simplest error measures, which is supposed to […]

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  • Risky business: how to select your model based on risk preferences
  • Teaching Statistics and Descriptive Analytics in the world of AI
  • AID paper rejected from the IJPR
  • Several crucial steps in demand forecasting with ML
  • Evolving seasonality

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Comments

  • Ivan Svetunkov on Intermittent demand classifications: is that what you need?
  • Kishor Kukreja on Intermittent demand classifications: is that what you need?
  • Ivan Svetunkov on Who is “Forecasting academia”?
  • Mohamed Merabtine on Who is “Forecasting academia”?
  • Ivan Svetunkov on Why Naive is not a good benchmark for intermittent demand

RSS RBloggers feed

  • Pharmaverse and Containers 2026-01-18
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  • Setting Up A Cluster of Tiny PCs For Parallel Computing – A Note To Myself 2026-01-16
  • admiral 1.4 release 2026-01-15
  • LLMs can’t be trusted to do scientific coding accurately, but humans make mistakes too 2026-01-13

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Ivan Svetunkov
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