Timeline for How to forecast multivariate time-series 'accurately' with a large number of unknown factors using R?
Current License: CC BY-SA 3.0
5 events
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| Jul 5, 2014 at 18:39 | comment | added | forecaster | The so called machine learning algorithms are notoriously known to fail in time series prediction problems. There is no empirical evidence to support algorithms like neural network, random forest work in time series predictions. I would be cautious in blindly applying any method unless it has been empirically validated. | |
| Jul 5, 2014 at 18:06 | history | edited | drenerbas | CC BY-SA 3.0 |
added 419 characters in body
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| Jul 5, 2014 at 16:17 | comment | added | Andy | This is a bit short for an answer. Can you expand a little on this? | |
| Jul 5, 2014 at 16:13 | review | Late answers | |||
| Jul 5, 2014 at 16:17 | |||||
| Jul 5, 2014 at 15:56 | history | answered | drenerbas | CC BY-SA 3.0 |