Jump to ContentJump to Main Navigation
Mathematical Underpinnings of AnalyticsTheory and Applications$
Users without a subscription are not able to see the full content.

Peter Grindrod

Print publication date: 2014

Print ISBN-13: 9780198725091

Published to Oxford Scholarship Online: March 2015

DOI: 10.1093/acprof:oso/9780198725091.001.0001

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2020. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 30 May 2020

Adaptive forecasting

Adaptive forecasting

Chapter:
(p.168) 6 Adaptive forecasting
Source:
Mathematical Underpinnings of Analytics
Author(s):

Peter Grindrod CBE

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780198725091.003.0007

This chapter considers the problem of conditioning models and making forecasts as more and more information arrives, moving away from a subjective prior estimate for a model. It presents applications to sales forecasts for new product launches energy demand forecasting using smart metre data from domestic consumers.

Keywords:   Bayesian updating, product launches, linear models, domestic energy demand, smart metre data, discrete and continuous optimization

Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us .