Timeline for Mathematical proof that the posterior probability that a CI contains the true parameter is in $\{0,1\}$
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Dec 2, 2015 at 17:04 | vote | accept | Antoni Parellada | ||
| Dec 2, 2015 at 14:22 | comment | added | Felipe Gerard | This is a common debate. In frequentist stats you model "true" randomness and so these things happen, because in "truth" there is nothing random to a few numbers having some characteristic or other. In bayesian stats, however, you model your own uncertainty as opposed to "real" randomness using probability distributions. You should check out any introductory text book to bayesian statistics if you're interested in these sorts of things! | |
| Dec 2, 2015 at 11:53 | comment | added | Antoni Parellada | It is the definition of anticlimatic.... I'm sure you are correct and I'll come back and accept the answer shortly, but even seeing how there isn't much to the whole mystery, I'm still wondering if we shouldn't the talk about a probability of 1/2. | |
| Dec 2, 2015 at 7:39 | history | answered | Felipe Gerard | CC BY-SA 3.0 |