4 ms·
There's nothing stopping the definition of a p-value from incorporating bayesian priors. There. I said it.
by tpoacher 4y ago
There's nothing stopping the definition of a p-value from incorporating bayesian priors.
There. I said it.
- mgraczyk 4y agoP values already incorporate assumptions about the distribution under the null hypothesis, so it's not such a stretch to report bayesian statistics
- whatshisface 4y agoThere's nothing stopping the Bayesian posterior from being the degree to which you can reject the null hypothesis except for its definition. There's nothing except their definition stopping real numbers from including i, too.
- tpoacher 4y agoNo, that's redefining. The p-value's ACTUAL definition, as accepted today in the statistical sense, can incorporate bayesian priors easily by making the model-data compatibility score upon which it acts compatible with Bayesian priors. Such as, e.g., a posterior probability.