VAR and GSTAR-BASED feature selection in support vector regression for multivariate spatio-temporal forecasting
Multivariate time series modeling is quite challenging particularly var(--highlight-yellow); color: inherit;">in term of diagnostic checking for assumptions required by the underlying model. For that reason, nonparametric approach is rapidly developed to overcome that problem. But, var(--hig...
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| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/91617/ http://www.dx.doi.org/10.1007/978-981-13-3441-2_4 |
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