Open Forecasting

Menu

Skip to content
  • Home
  • Events
    • Future events
    • Past events
  • smooth in R
    • About adam() function
    • About es() function
    • Common parameters
    • Methods for the smooth functions in R
  • greybox in R
  • Theory
    • Forecast evaluation
  • ADAM
  • SBA
  • Short posts
  • About
  • Русский

combinations

ITISE2025: Beyond summary performance metrics for forecast selection and combination

2025-07-21 Leave a comment
A gist of pAIC

This year, I couldn’t attend the International Symposium on Forecasting (organised by the International Institute of Forecasters), which I usually do, so instead I went to Gran Canaria for the International Conference on Time Series and Forecasting (aka ITISE). The location was fantastic, and I enjoyed several talks. I was also glad to catch up […]

A paper to read over the Xmas holiday: Wang et al. (2023) – Forecast combinations: An over 50-year review

2024-12-232024-12-23 Leave a comment

Christmas and the New Year are upon us, and I wanted to publish a celebratory post before taking a break. Instead of writing something educational, I decided to simply recommend a paper for you to read over the holidays – something you might have overlooked in the past couple of years. Here it is or […]

  • Русский

Events

  • No events planned at the moment

Blog

  • Several crucial steps in demand forecasting with ML
  • Evolving seasonality
  • ITISE2025: Beyond summary performance metrics for forecast selection and combination
  • smooth v4.3.0 in R: what’s new and what’s next?
  • IIF Open Source Forecasting software workshop and smooth

Tags

ADAM AI and ML analytics ARIMA bla-bla-bla CES changepoint combinations complex variables conferences consultancy English error measures estimators ETS extrapolation methods greybox GUM hierarchies history Information criteria 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 uncertainty useR!

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

  • Simulating Monty Hall’s Problem 2025-10-01
  • Plotting Distributions in R 2025-09-30
  • The Cadence of Behavior-Driven Development 2025-09-30
  • rOpenSci Code of Conduct Committee Templates 2025-09-30
  • Uncertainty Analysis: Gold vs. Bitcoin 2025-09-29

Categories

Blog Authors

Ivan Svetunkov
  • Home
  • Future events
  • Past events
  • Using R
  • About
Рейтинг@Mail.ru