Timeline for How does the random coefficient model take care of autocorrelation?
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29 events
| when toggle format | what | by | license | comment | |
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| Jan 2 at 16:03 | answer | added | whuber♦ | timeline score: 6 | |
| Jan 2 at 15:40 | answer | added | BenP | timeline score: 0 | |
| Jan 2 at 15:39 | answer | added | AdamO | timeline score: 4 | |
| Jan 2 at 15:32 | history | edited | AdamO | CC BY-SA 4.0 |
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| Jan 2 at 15:30 | comment | added | AdamO | @Tim Indeed, but perhaps you could speak to the idea of including time as a random slope? | |
| Jan 2 at 15:29 | comment | added | AdamO | Secondly, and it should be obvious, what is the nature of the relationship you're trying to estimate between two variables? There's more than one - most people consider cross-sectional relationships in this case. But there could be a lagged association, or a number of other things which could be called "trends". | |
| Jan 2 at 15:28 | comment | added | AdamO | See my suggested edits. Also, when you say your time series is irregular, do you mean you have measured $(X_1, Y_1), (X_2, Y_2), \ldots$ synchronously or you might have $X_s, Y_t$ where the indices $s$ and $t$ may or may not overlap? | |
| Jan 2 at 15:27 | history | edited | AdamO | CC BY-SA 4.0 |
deleted 336 characters in body; edited tags
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| Feb 19, 2016 at 22:28 | vote | accept | Petter | ||
| Feb 19, 2016 at 22:28 | |||||
| Feb 19, 2016 at 9:18 | answer | added | RGG | timeline score: 0 | |
| S Feb 19, 2016 at 8:53 | history | suggested | Antoine | CC BY-SA 3.0 |
corrected spelling
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| Feb 19, 2016 at 8:39 | review | Suggested edits | |||
| S Feb 19, 2016 at 8:53 | |||||
| Feb 19, 2016 at 7:51 | comment | added | Tim | "But I cant se how the autocorrelation is taking care of just because intercept are a random effect within subjects" - because it doesn't. | |
| Feb 19, 2016 at 7:50 | review | First posts | |||
| Feb 19, 2016 at 8:39 | |||||
| Feb 19, 2016 at 7:47 | history | asked | Petter | CC BY-SA 3.0 |