Timeline for Difficulty with auto.arima function results
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| S Apr 16, 2020 at 11:31 | history | suggested | SlowLearning | CC BY-SA 4.0 |
Miss the library Forecast and I formatted all question.
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| Apr 16, 2020 at 10:04 | review | Suggested edits | |||
| S Apr 16, 2020 at 11:31 | |||||
| Feb 7, 2016 at 17:39 | comment | added | Aksakal | With lag 1 you're not going to see anything interesting in the forecast beyond a few steps: it simply goes to an average. If you want to see any kind of structure in the forecast for 1440 steps, you'll have to have more lags, say 100. Check out Yule Walker equations. With 100 lags and 5K observation you'll run into other issues though. | |
| Feb 7, 2016 at 17:24 | answer | added | StatguyUser | timeline score: 0 | |
| Feb 3, 2014 at 13:19 | answer | added | Hibernating | timeline score: 1 | |
| Feb 3, 2014 at 11:14 | comment | added | Scortchi♦ | You're perhaps thinking a forecast should look like a simulation. | |
| Feb 3, 2014 at 11:12 | answer | added | Analyst | timeline score: 2 | |
| Feb 3, 2014 at 11:04 | review | First posts | |||
| Feb 3, 2014 at 11:34 | |||||
| Feb 3, 2014 at 10:45 | history | asked | user3265403 | CC BY-SA 3.0 |