Skip to content
OpenForecast
  • Blog
  • Events
    • Future events
    • Past events
  • Training
    • Demand Forecasting Principles
  • Consulting
  • Packages
    • smooth
      • smooth Github
      • smooth in Python
        • smooth functions
      • smooth in R
        • About adam() function
        • About es() function
        • Common parameters
        • smooth methods in R
    • greybox
      • greybox Github
      • greybox in Python
        • greybox on PyPI
      • greybox in R
  • Resources
    • ADAM
    • SBA
    • Intermittent demand
    • Forecast evaluation
    • How to set safety stock
    • Papers
  • About

hype

Forecasting for the sake of forecasting

2020-03-232020-03-23 by Ivan Svetunkov

You probably have already noticed that we are in a pandemic of COVID-19 these days (breaking news: the UK has just announced a lockdown due to the virus). The number of news, memes and noise on the topic coming from around the world is astonishing! What is also astonishing is the number of posts on … Read more

Categories Applied forecasting, hype Tags opinion Leave a comment

Events

  • Demand Forecasting Principles Training, November 2026 on 2026-11-03 14:00

Blog

  • The Menace of ML: Simple Moving Average
  • smooth for Python: ETS+ARIMA
  • Five assumptions behind “forecastability”
  • On differencing of ARIMA in state space
  • smooth in python: Multiple Seasonal ARIMA

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 Loss functions 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 feed: RBloggers feed RBloggers feed

  • When Chain-Ladder Factors Misbehave: Smoothing Reserves with Polars and Whittaker-Henderson 2026-09-21
  • Semi-parametric option pricing based on underlying’s historical data (accepted at the osQF 2026 (ex R/Finance) conference) 2026-09-20
  • The AI Hammer 2026-09-19
  • Bootstrap v traditional asymptotic normal assumptions by @ellis2013nz 2026-09-19
  • From URL to Theme: How {css2r} Steals a Website’s Colours, and Where It Gives Up 2026-09-18
  • Русский
  • Terms of Service
  • Privacy Policy
  • About OpenForecast
  • Contact us

OpenForecast Ltd is registered in England and Wales, 11391477.

© 2026 OpenForecast • Built with GeneratePress