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Visualising forecasting Algorithm Performance using Time Series Instance Spaces

Published in RePEc: Research Papers in Economics • Jan 1, 2022
NobleIDNI0P259W705R296S699
Authors:
Yanfei Kang
,
Rob J. Hyndman
,
Kate Smith‐Miles

Abstract

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

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