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Past events

The list of events we delivered in the past:

  • Demand Forecasting with the Augmented Dynamic Adaptive Model on 2024-04-29 10:00
  • Why you should care about exponential smoothing on 2024-05-01 13:00
  • Why you should care about exponential smoothing: demand planners perspective on 2024-05-10 14:00
  • iETS: State space model for intermittent demand forecasting on 2024-05-14 17:00
  • Methods, Models: a Modern Perspective (and Reality) on 2024-06-13 14:00
  • Sky is the Limit: Bringing the Exponential Smoothing to the Next Level on 2024-06-30 09:00
  • Why you should care about exponential smoothing: data scientists perspective on 2024-08-09 14:00
  • Why do zeroes happen? A model-based view on demand classification on 2025-03-13 13:00
  • Importance of Forecasting in Decision Making on 2025-03-20 13:00
  • Feature Engineering for Intermittent Demand on 2025-04-01 11:00
  • Gathering the Pool: Model Performance Based Approach for Forecast Combinations on 2026-03-13 12:00

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

  • Announcing AI in Production 2027 2026-08-12
  • From Raw Data to Regulatory Results: Clinical Trial Programming in R using the pharmaverse workshop 2026-08-12
  • The Resource Project: Tell R How Much Memory You Need 2026-08-11
  • R-Community A moderated Google Group to share R knowledge 2026-08-10
  • Dual scaled y-axis with ggplot() 2026-08-10
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