Timeline for Comparing Bernoulli means across subpopulations in which the number of observed successes may be zero
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
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| Apr 8, 2014 at 18:31 | comment | added | BeyondTheZero | Just as an addendum, obscureanalytics.com/2012/07/04/… has some background on setting a prior that could be used here based on observations about $p$ from the global population. | |
| Apr 8, 2014 at 17:20 | vote | accept | BeyondTheZero | ||
| Apr 8, 2014 at 1:45 | comment | added | Cam.Davidson.Pilon | All my priors are Uniform(0,1) (i.e. Beta(1,1) ). The 10000 is the number of draws from the posterior I perform, so I can do monte carlo estimates of the $P(p>p_i)$ | |
| Apr 7, 2014 at 18:50 | comment | added | BeyondTheZero | This looks to me like the same method that the Jeffreys interval uses, but with a prior that takes into account information about the probability of success for the global population. Thanks for that. Would you have any guidance as to how strongly to weight that prior? Here, I'm assuming, that's what the size=10000 parameter is doing. | |
| Apr 6, 2014 at 23:28 | history | answered | Cam.Davidson.Pilon | CC BY-SA 3.0 |