Timeline for Can Bayesian Models be used to Compensate for Small Datasets?
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 6, 2022 at 8:12 | comment | added | Adrian | great, now everytime a coworker suggests bayesian I will joke with "are you compensating for something?" | |
| S Nov 5, 2021 at 12:32 | history | suggested | T.E.G. | CC BY-SA 4.0 | minor spelling |
| Nov 5, 2021 at 11:04 | review | Suggested edits | |||
| S Nov 5, 2021 at 12:32 | |||||
| Nov 5, 2021 at 8:25 | answer | added | Tim | timeline score: 2 | |
| Nov 5, 2021 at 2:57 | comment | added | stats_noob | Thank you for your reply! I will watch this video! | |
| Nov 5, 2021 at 2:42 | comment | added | Dave | The Brandon Rohrer YouTube video on Bayes’ theorem gets into how that can be done. Keep in mind that, just like an awesome prior can get out of trouble when we have little data, a bad prior is going cause problems. | |
| Nov 5, 2021 at 1:10 | history | edited | kjetil b halvorsen♦ | edited tags | |
| Nov 5, 2021 at 0:46 | history | asked | stats_noob | CC BY-SA 4.0 |