Timeline for Bayesian lognormal model: how to correctly back-transform the estimates?
Current License: CC BY-SA 4.0
16 events
when toggle format | what | by | license | comment | |
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Mar 19, 2021 at 9:27 | vote | accept | jjj | ||
S Mar 19, 2021 at 9:27 | history | bounty ended | jjj | ||
S Mar 19, 2021 at 9:27 | history | notice removed | jjj | ||
Mar 15, 2021 at 17:17 | answer | added | carlo | timeline score: 3 | |
Mar 13, 2021 at 0:00 | history | tweeted | twitter.com/StackStats/status/1370525257807839232 | ||
S Mar 12, 2021 at 20:22 | history | bounty started | jjj | ||
S Mar 12, 2021 at 20:22 | history | notice added | jjj | Draw attention | |
Mar 11, 2021 at 11:27 | history | edited | jjj |
added tags
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Mar 10, 2021 at 22:17 | history | edited | jjj | CC BY-SA 4.0 |
added 2 characters in body
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S Mar 10, 2021 at 21:40 | history | suggested | jcken | CC BY-SA 4.0 |
exp -> \exp
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Mar 10, 2021 at 21:39 | review | Suggested edits | |||
S Mar 10, 2021 at 21:40 | |||||
Mar 10, 2021 at 21:27 | history | edited | jjj | CC BY-SA 4.0 |
corrected notation
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Mar 10, 2021 at 21:21 | comment | added | jjj | @stats_model Yes, I think you're right. Thanks, I'll correct it. | |
Mar 10, 2021 at 18:52 | comment | added | stats_model | Small nitpick on notation. Shouldn't it be (for example) $\partial \mu / \partial d$ instead of $\partial y / \partial d$? $y$ is a random variable, so it does not immediately make sense to take its derivative. Similarly, should $y |_{c=1}$ instead be $\mu |_{c = 1}$? | |
Mar 10, 2021 at 17:00 | review | First posts | |||
Mar 10, 2021 at 18:52 | |||||
Mar 10, 2021 at 17:00 | history | asked | jjj | CC BY-SA 4.0 |