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Article
Forecasting Algorithms for Recurrent Patterns in Consumer Demand
This version is not peer-reviewed.
Submitted:
24 August 2017
Posted:
25 August 2017
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Abstract
In this paper we develop a forecasting algorithm for recurrent patterns in consumer demand. We study this problem in two different settings: pull and push models. We discuss several features of the algorithm concerning sampling, periodic approximation, denoising and forecasting.
Keywords:
seasonality
; forecasting
; pull and push models
; denoising
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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