Applying machine learning approaches to forecasting is an area of great research interest. Progress is being made on multiple fronts, for example: In the M4 Forecasting Competition, completed earlier this year, the top two performers utilized machine learning with traditional time series forecasting methods. At the link you'll find full
This Fall 2018 issue of Foresight, our 51st, opens with Fotios Petropoulos’s review of Paul Goodwin’s latest book, How to Profit from Your Software: A Best-Practice Guide for Sales Forecasters. Fotios notes that the author doesn’t single out any one software system, but keeps the discussion general and so applicable to many products.
Continuation of Q&A from the September 19, 2018 ASA web lecture "Why Are Forecasts So Wrong? What Management Must Know About Forecasting." Why Are Forecasts So Wrong? Q&A (Part 2) Q: Should we make a distinction between business as usual forecasts and major change forecasts and do FVA for these
Last week I had the pleasure of delivering a one hour web lecture for the American Statistical Association on "Why Are Forecasts So Wrong? What Management Must Know About Forecasting." I find it helpful (both for myself and the audience) to follow up with written responses to all questions submitted
Forenote: We Are The Champions In a season marred by more cheating and dirty play than a church league, I had the pleasure of teaming with this motley group below to win the 2018 SAS Basketball Championship. Easy everyone...don't think I announce this to be glorified and put on a
Note: The following concludes an eight-part serialization of selected content from Steve Morlidge's The Little (Illustrated) Book of Operational Forecasting. Good forecasts don’t always ‘look right’ Many forecasters believe that they can tell how good a forecast is by ‘eyeballing’ it. Good forecasts just ‘look right’ or so they would