Visualising forecasting algorithm performance using time series instance spaces

It is common practice to evaluate the strength of forecasting methods using collections of well-studied time series datasets, such as the M3 data. The question is, though, how diverse and challenging are these time series, and do they enable us to study the unique strengths and weaknesses of differe...

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Bibliographic Details

Published in:	International journal of forecasting Vol. 33; no. 2; pp. 345 - 358
Main Authors:	Kang, Yanfei, Hyndman, Rob J., Smith-Miles, Kate
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.04.2017
Subjects:	Forecasting algorithm comparison M3-Competition Time series generation Time series visualisation M3-Competition Forecasting algorithm comparison Time series visualisation Time series generation
ISSN:	0169-2070, 1872-8200
Online Access:	Get full text
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