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Svetunkov & Sroginis (2025) – Model Based Demand Classification
Challenges related to seasonal data: shifting seasonality
Naming conventions for seasonality types
Why do zeroes happen? A model-based view on demand classification
There is no such thing as “the best approach for everything”

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ADAM AI and ML analytics ARIMA bla-bla-bla CES combinations complex variables conferences English error measures estimators ETS extrapolation methods greybox GUM hierarchies history intermittent demand ISF ISMS LaTeX Marketing stuff multivariate models OR papers personal PhD presentations programming R regression regular demand Seasonality SMA smooth statistics stories theory time series useR!

Comments

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
Indar Kusmadi on Why Naive is not a good benchmark for intermittent demand
Indar Kusmadi on John E. Boylan

RBloggers feed

Exploring a 3-D Synthetic Dataset 2025-04-12
[R] data.table’s frank() 2025-04-12
Down a Rabbit Hole with ARIMA Models 2025-04-11
Generate Route Titles and Descriptions from GPX Files with LLMs and {ellmer} 2025-04-11
What’s new in R 4.5.0? 2025-04-10

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