Timeline for How do interpret a vague prior for hierarchical modeling?
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
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| Feb 6, 2019 at 21:44 | history | edited | Ben Bolker | CC BY-SA 4.0 |
trivial typo
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| Jul 30, 2018 at 12:20 | history | edited | Ben Bolker | CC BY-SA 4.0 |
fixed arithmetic mistake
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| Jul 30, 2018 at 6:16 | comment | added | user121 | useful insights indeed | |
| Jul 30, 2018 at 6:13 | vote | accept | user121 | ||
| Jul 29, 2018 at 9:53 | comment | added | Ben Bolker | Yes. If the covariate data is normalized between 0 and 1, then I'd say a std dev of at least 2-3 (would be needed for a weak prior); if you want it to be effectively flat, then say >10? | |
| Jul 29, 2018 at 2:09 | comment | added | user121 |
These are some useful insights. When you say std dev ≫ the scale of the data, would you say a std dev of 1.0E-5 is not feasible to use when the covariate data is normalized between 0 and 1 (since the std dev very small) ? If so, what is an appropriate value for std dev in this case?
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| Jul 29, 2018 at 0:15 | history | answered | Ben Bolker | CC BY-SA 4.0 |