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Statistical and Machine Learning forecasting methods: Concerns and ways forward
Machine Learning (ML) methods have been proposed in the academic literature as alternatives to statistical ones for time series forecasting. Yet, scant evidence is available about their relative performance in terms of accuracy and computational requirements. The purpose of this paper is to evaluate...
Tallennettuna:
| Julkaisussa: | PLoS One |
|---|---|
| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Public Library of Science
2018
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5870978/ https://ncbi.nlm.nih.gov/pubmed/29584784 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0194889 |
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