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Future events

If you want us to deliver a training/workshop/presentation on some topic please get in touch.

The list of the planned events:

  • Demand Forecasting Principles Training, October 2026 on 2026-10-05 14:00
  • Русский

Events

  • Demand Forecasting Principles Training, October 2026 on 2026-10-05 14:00

Blog

  • ISF2026: PTS Taxonomy of Multiple Source of Error State Space Models for Demand Forecasting
  • stick function for the EDA in time series
  • smooth in python: Non-normal distributions in ETS/ARIMA
  • Hans Levenbach’s classification scheme for trend/seasonal components
  • smooth in python: multiple seasonal ETS

Tags

ADAM AI and ML ARIMA CES changepoint combinations Competitions complex variables conferences consultancy EDA error measures estimators ETS extrapolation methods greybox GUM history Information criteria intermittent demand ISF Marketing stuff model combination model selection multivariate models MUSE opinion papers personal PhD presentations programming Python R regression regular demand Seasonality SMA smooth statistics stories teaching theory time series uncertainty

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

  • R-Community A moderated Google Group to share R knowledge 2026-08-10
  • Dual scaled y-axis with ggplot() 2026-08-10
  • Institutions Are a Package Deal: What a Correlation Can’t Tell You About the Rule of Law 2026-08-10
  • From Census Data to Demographic Analysis with ARcenso: A Reproducible Workflow in R 2026-08-10
  • NZ and US petrol (‘gasoline’) and diesel prices by @ellis2013nz 2026-08-07

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