Timeline for When forecasting sequential data is it best to use auto-regressive models or build a more traditional n x p dataset with features?
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 14, 2014 at 1:25 | history | tweeted | twitter.com/#!/StackStats/status/477622849088139264 | ||
| Jun 14, 2014 at 1:09 | comment | added | probabilityislogic | You should use time series methods if you want CIs to go with your predictions. Your model is cast in the "filtering" framework rather than the ARIMA framework. Look up x12 for some pointers here. | |
| Jun 14, 2014 at 0:16 | answer | added | Jessica Collins | timeline score: 1 | |
| Jun 13, 2014 at 21:06 | review | First posts | |||
| Jun 13, 2014 at 21:13 | |||||
| Jun 13, 2014 at 20:44 | history | asked | John Bohn | CC BY-SA 3.0 |